field_remote_option

job_industry

field_job_occupational_field_parents_all

job_organization_name

job_upgrade_is_featured

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to<a href="https://customers.twilio.com/" target="_blank"> hundreds of thousands of businesses </a>and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to <a href="https://www.twilio.com/en-us/blog/open-work" target="_blank">remote-first work</a>, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. See yourself at Twilio Join the Segment team as Twilio’s next Principal Data Engineer. About the job As a Principal Data Engineer, you will lead the technical direction of our core data processing infrastructure. You’ll be responsible for building and scaling large-scale distributed systems that support Segment’s customer data platform (CDP). This role demands deep expertise in data engineering, a strong product sense, and the ability to make high-leverage architectural decisions. Our systems handle hundreds of thousands of events per second across real-time and batch processing environments. You'll collaborate closely with cross-functional teams to design and implement scalable data pipelines, high-throughput compute engines, and durable storage solutions that power advanced capabilities like audience segmentation, real-time personalization, and predictive insights . Responsibilities In this role, you’ll: <ul> <li>Architect and implement large-scale data processing systems that power core Segment capabilities.</li> <li>Design and optimize distributed compute frameworks leveraging Apache Spark, Scala, and cloud-native services.</li> <li>Drive scalability and performance improvements across our data pipelines, enabling real-time and batch data processing.</li> <li>Partner with product, infrastructure, and platform teams to build reusable systems that accelerate development across Segment.</li> <li>Mentor and guide a team of data engineers, setting technical standards and fostering a culture of operational excellence.</li> <li>Lead end-to-end delivery of major platform features and improvements with measurable business impact.</li> <li>Ensure systems are designed for observability, maintainability, security, and compliance.</li> </ul> Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! [CANDIDATES MUST MEET ALL REQUIRED QUALIFICATIONS IN THE JOB DESCRIPTION. IF ANY OF THESE QUALIFICATIONS CHANGE DURING THE HIRING PROCESS, THE JD MUST BE REVISED TO REFLECT THE NEW REQUIREMENTS] Required: <ul> <li>8+ years of software engineering experience, with at least 5+ years focused on large-scale data engineering.</li> <li>Proficiency in Scala or Java, with hands-on experience building systems using Apache Spark or similar distributed compute engines.</li> <li>Deep understanding of distributed systems, stream processing, and data pipeline design patterns.</li> <li>Experience processing large volumes of data using cloud-native and open-source big data tools (e.g., Spark, Kafka, Parquet, Delta Lake).</li> <li>Track record of leading technical initiatives and collaborating across engineering and product teams.</li> <li>Strong problem-solving skills and a bias toward ownership and execution.</li> <li>Experience with AWS and infrastructure-as-code tools.</li> <li>Excellent written and verbal communication skills. </li> </ul> Desired: <ul> <li>Experience with other data technologies such as Apache Flink, Trino, Snowflake, or Databricks.</li> <li>Familiarity with data governance, quality frameworks, and GDPR/CCPA compliance.</li> <li>Exposure to real-time personalization or ML-driven analytics use cases.</li> <li>Experience working in globally distributed teams </li> </ul> Location This role will be remote and based in the U.S. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: <ul> <li>Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $167,800.00 - $209,700.00.</li> <li>Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $177,700.00 - $222,100.00).</li> <li>Based in the San Francisco Bay area, California: $197,400.00 - $246,700.00.</li> <li>This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.</li> </ul> The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until June 1st, 2025, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call <a href="https://www.twilio.com/company/values" target="_blank">Twilio Magic</a>. Additionally, we empower employees to build <a href="https://twilio.org/support-and-resources/impact-fund" target="_blank">positive change in their communities</a> by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, <a href="https://www.twilio.com/company/jobs#open-positions" target="_blank">please consider other open positions</a>. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law. Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at <a href="#">accommodations@twilio.com</a>.

Twilio

Principal Data Engineer (L5)

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. The CX Analytics Engineering team bridges the gap between data engineering, data science, and business analytics by building scalable, impactful data solutions. We transform raw data into actionable insights through robust pipelines, well-designed data models, and tools that empower stakeholders across the organization to make data-driven decisions. As an AnalyticsEngineer on our team, you will function as a force multiplier, enabling Analytics and Operations to function seamlessly at scale. You’ll have the opportunity to translate complex technical and operational requirements into easily consumable front end data solutions, while also heavily influencing the overarching strategy for CX Analytics and its partners. Our team combines technical expertise with a deep understanding of the business to unlock the full potential of our data. We prioritize data quality, reliability, and usability, ensuring stakeholders can rely on our data to drive meaningful outcomes. <h4>What We Do</h4> <ul> <li> Trusted Data Sources: Develop and maintain foundational data models that serve as the single source of truth for analytics across the organization.</li> <li> Actionable Insights: Empower stakeholders by translating business requirements into scalable data models, dashboards, and tools.</li> <li> Cross-Functional Collaboration: Partner with engineering, data science, product, and business teams to ensure alignment on priorities and data solutions.</li> <li> Scalable Data Products: Build frameworks, tools, and workflows that maximize efficiency for data users, while maintaining high standards of data quality and performance.</li> <li> Outcome-Focused Solutions: Use modern development and analytics tools to deliver value quickly, while ensuring long-term maintainability.</li> </ul> What you’ll be doing (ie. job duties): Analytics engineer is a hybrid Data Engineer/Data Scientist/Business Analyst role that has the expertise to understand data flows end to end, and the engineering toolkit to extract the most value out of it indirectly (building tables) or directly (solving problems, delivering insights). Expectations: <ul> <li> Be the expert: Quickly build subject matter expertise in a specific business area and data domain. Understand the data flows from creation, ingestion, transformation, and delivery.</li> <ul> <li>Examples:</li> </ul> </ul> Step into a new line of business and work with Engineering and Product partners to deliver first data pipelines and insights.Communicate with engineering teams to fix data gaps for downstream data users.Take initiative and accountability for fixing issues anywhere in the stack. <ul> <li> Generate business value: Interface with stakeholders on data and product teams to deliver the most commercial value from data (directly or indirectly).</li> <ul> <li>Examples:</li> </ul> </ul> Build out a new data model allowing multiple downstream DS teams to more easily unlock business value through experimentation and ad hoc analysis.Combine Eng details of the algo engine with stats and data expertise to come up with feasible solutions for Eng to make the algo better.Work with PMs to tie together new x-PG, and x-Product data into one holistic framework to optimize key financing product business metrics. <ul> <li> Focus on outcomes not tools: Use a variety of frameworks and paradigms to identify the best-fit tools to deliver value.</li> <ul> <li>Examples: </li> </ul> </ul> Develop new abstractions (e.g. UDFs, Python packages, dashboards) to support scalable data workflows/infra.Stand up a framework for building data apps internally, enabling other DS teams to quickly add value.Use established tools with mastery (e.g. Google Sheets, SQL) to quickly deliver impact when speed is top priority. What we look for in you (ie. job requirements): In addition to out of the box thinking, attention to detail, a sense of urgency and a high degree of autonomy and accountability, we expect you to have the following skills: <ul> <li> Data Modeling Expertise: Strong understanding of best practices for designing modular and reusable data models (e.g., star schemas, snowflake schemas).</li> <li> Prompt Design and Engineering: Expertise in prompt engineering and design for LLMs (e.g., GPT), including creating, refining, and optimizing prompts to improve response accuracy, relevance, and performance for internal tools and use cases.</li> <li> Advanced SQL: Proficiency in advanced SQL techniques for data transformation, querying, and optimization.</li> <li> Collaboration and Communication: Strong ability to translate technical concepts into business value for cross-functional stakeholders. Proven ability to manage projects and communicate effectively across teams.</li> <li> Data Pipeline Development: Experience building, maintaining, and optimizing ETL/ELT pipelines, using modern tools like dbt, Airflow, or similar.</li> <li> Development Tools: Familiarity with version control (GitHub), CI/CD, and modern development workflows.</li> <li> Data Architecture: Knowledge of modern data lake/warehouse architectures (e.g., Snowflake, Databricks) and transformation frameworks.</li> <li> Business Acumen: Ability to understand and address business challenges through analytics engineering.</li> </ul> Nice to haves: <ul> <li> Intermediate to Advanced Python: Expertise in scripting and automation, with experience in Object-Oriented Programming (OOP) and building scalable frameworks.</li> <li> Data Visualization: Proficiency in building polished dashboards using tools like Looker, Tableau, Superset, or Python visualization libraries (Matplotlib, Plotly).</li> <li> Experience with cloud platforms (e.g., AWS, GCP).</li> <li> Data savvy: Familiarity with statistics and probability.</li> </ul> Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + benefits (including medical, dental, vision and 401(k)). Pay Range: $122,145—$143,700 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Coinbase

Analytics Engineer

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to<a href="https://customers.twilio.com/" target="_blank"> hundreds of thousands of businesses </a>and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to <a href="https://www.twilio.com/en-us/blog/open-work" target="_blank">remote-first work</a>, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. See yourself at Twilio Join the team as Twilio’s next Senior Data Engineer at the Segment Data Platform Team. About the job Twilio's Segment product powers modern data infrastructure that helps businesses collect, unify, and activate customer data at scale. Every day, we process billions of events in real time to enable personalized, data-driven customer experiences. We're looking for a Senior Data Engineer to help build and scale the next generation of our data platform. You'll work on systems that handle high-throughput data ingestion, processing, and enrichment - serving as the backbone for our customer data platform (CDP). If you're excited about building high-performance systems, solving real-world data challenges, and making a measurable impact for customers, we’d love to hear from you. . Responsibilities In this role, you’ll: <ul> <li>Build and maintain scalable data pipelines using Spark, Scala, and cloud-native services.</li> <li>Improve the performance and reliability of our real-time and batch data processing systems.</li> <li>Contribute to platform features that support key customer-facing products such as Identity resolution, audience segmentation and real-time personalization.</li> <li>Work closely with Staff and Principal Engineers to execute on architectural decisions and implementation plans.</li> <li>Collaborate across product and engineering teams to deliver high-impact, customer-facing capabilities.</li> <li>Write clean, maintainable, and well-tested code that meets operational and compliance standards.</li> <li>Participate in code reviews, technical discussions, and incident response efforts to improve system quality and resiliency</li> </ul> Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: <ul> <li>5+ years of industry experience in backend or data engineering roles.</li> <li>Strong programming skills in Scala, Java, or a similar language.</li> <li>Solid experience with Apache Spark or other distributed data processing frameworks.</li> <li>Working knowledge of batch and stream processing architectures.</li> <li>Experience designing, building, and maintaining ETL/ELT pipelines in production.</li> <li>Familiarity with AWS and tools like Parquet, Delta Lake, or Kafka.</li> <li>Comfortable operating in a CI/CD environment with infrastructure-as-code and observability tools.</li> <li>Strong collaboration and communication skills.</li> </ul> Desired: <ul> <li>Experience with Trino, Flink, or Snowflake.</li> <li>Familiarity with GDPR, CCPA, or other data governance requirements.</li> <li>Experience with high-scale event processing or identity resolution.</li> <li>Exposure to multi-region, fault-tolerant distributed systems</li> </ul> Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: <ul> <li>Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $126,000.00 - $157,500.00.</li> <li>Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $133,400.00 - $166,700.00</li> <li>Based in the San Francisco Bay area, California: $148,200.00 - $185,200.00.</li> <li>This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.</li> </ul> The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until May 30th, 2025, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call <a href="https://www.twilio.com/company/values" target="_blank">Twilio Magic</a>. Additionally, we empower employees to build <a href="https://twilio.org/support-and-resources/impact-fund" target="_blank">positive change in their communities</a> by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, <a href="https://www.twilio.com/company/jobs#open-positions" target="_blank">please consider other open positions</a>. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law. Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at <a href="#">accommodations@twilio.com</a>.

Senior Data Engineer (L3)

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position SummaryA Brief OverviewCVS Health is looking for an experienced analytics leader to grow and direct a diverse and talented Data Science team. A&amp;BC is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&amp;BC leverages advanced analytics, machine learning, modeling, and a hypothesis-driven approach to quickly transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all of our businesses in CVS Health. What you will do<ul> <li>Lead a team of analytic professionals in driving business value through data science solutions</li> <li>Collaborate with stakeholders across the organization, including executives, clinicians, technology professionals, and business analysts, to understand business strategy and provide data-driven solutions</li> <li>Provide thought leadership and guidance in the development of analytic solutions and business insights for stakeholders</li> <li>Define data science initiatives by utilizing data mining, data modeling, large language models, and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions</li> <li>Design and develop data solutions that meet client requirements and organizational quality standards by leveraging industry-leading tools, technologies, and best practices to profile and translate data</li> <li>Apply data science expertise and machine learning knowledge to improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making</li> <li>Develop and implement analytical frameworks, key metrics, and performance dashboards to monitor, measure, and evaluate healthcare quality, efficiency, and performance</li> <li>Deliver presentations and consultative services to existing and prospective constituents on data analytics results and solutions</li> <li>Communicate with leaders to introduce and operationalize incremental KPIs that contribute to the company's overall revenue and profitability targets</li> <li>Help establish and implement programs that ensure departmental adherence to all applicable data governance policies and procedures by educating team members on data science best practices</li> <li>Continually evolve and ensure delivery against an analytics roadmap aligned with business partners</li> </ul> Required Qualifications<ul> <li>10 + years total business experience</li> <li>7+ years' experience with statistical concepts and advanced analytic techniques, such machine learning models (e.g., linear regression, tree-based non-linear, time series, random forests, natural language processing (NLP)), generative AI (Gen AI), clustering and segmentation, customer lifetime value, A/B testing, etc. to extract insights from text data</li> <li>5+ years of business experience leading Healthcare analytic projects and initiatives from concept to delivery, coordinating across diverse stakeholder groups with track record of business impact</li> <li>5+ years' experience handling multiple, complex projects in a deadline-driven environment, anticipating and preventing roadblocks throughout a project lifecycle and driving resolution/mitigation</li> <li>5+ years of people management experience, leading highly effective and engaged teams</li> <li>5+ years' experience with analytic and modeling tools and software, such as Python and SQL</li> </ul> Preferred Qualifications<ul> <li>Excellent analytical and problem-solving skills</li> <li>Strong written and verbal communication skills, including the ability to present complex ideas to various audiences</li> <li>Experience with Medical Economics and Trend Analytics</li> <li>Highly self-motivated and attentive to detail</li> <li>Proficiency with Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer</li> </ul>Education<ul> <li>Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline.</li> <li>Master’s degree preferred.</li> </ul>Pay RangeThe typical pay range for this role is:$144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul> <li>Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li> <li>No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li> <li>Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li> </ul>For more information, visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">https://jobs.cvshealth.com/us/en/benefits</a>We anticipate the application window for this opening will close on: 05/31/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

CVSHealth

Lead Director, Data Science - Healthcare Analytics

<h3> Position Summary </h3> Do you have a strong background in machine learning and deep learning? Are you interested in utilizing your data science skills and working with a small team in a fast-paced environment to achieve strategic mission goals? If so, Deloitte has an exciting opportunity for you! As a member of our GPS GSi group, you will play a crucial role in the development and maintenance of our data science and business intelligence solutions. This role will specialize in assisting with machine learning, deep learning, and generative AI initiatives that will be utilized by Enabling Area professionals to enhance and expedite decision-making. You will provide expertise within and across business teams, demonstrate the ability to work independently, and apply problem-solving skills to resolve complex issues. Recruiting for this role ends on October 1st, 2024 Responsibilities <ul> <li>Participate in and/or lead the development of data science products that meet the needs of our clients, with an emphasis on the ability to transform client needs into quantifiable data science solutions.</li> <li>Independently carry out tasks, using critical thinking and problem-solving skills to devise effective solutions for unique challenges.</li> <li>Design, train, and deploy machine learning and deep learning models to AWS, Databricks, and Dataiku platforms.</li> <li>Develop, design, and/or advise on Large Language Model (LLM) solutions for enterprise-wide documentation (e.g., Retrieval-Augmented Generation (RAG), Continued Pre-training (CPT), Supervised Fine-tuning (SFT), etc.)</li> <li>Utilize Machine Learning Operations (MLOps) pipelines, including knowledge of containerization (Docker) and CI/CD for training and deploying models.</li> <li>Develop cleanly written code that is heavily commented and can be easily understood by others for code sharing and collaboration.</li> <li>Maintain structured documentation of project development stages, including the utilization of GitHub and/or Jira for version control and project management.</li> <li>Demonstrate strong communication skills with the ability to provide expertise and break down complex analytical solutions to explain to clients.</li> <li>Remain current with latest industry trends and developments in data science and/or related fields, with the ability to learn new skills and knowledge to advance the skillset of our Data Science team.</li> <li>Apply thorough attention to detail, and carefully review data science solutions for accuracy and quality.</li> </ul> Qualifications Required: <ul> <li>Bachelor’s Degree in Statistics, Mathematics, Computer Science, Engineering or other analytical field</li> <li>6+ years of experience with data science - including having a deep knowledge &amp; mastery of Python, machine learning &amp; deep learning, and associated data science packages (e.g., sklearn, TensorFlow, PyTorch) - and demonstrated comfort leading data science projects from inception to deployment.</li> <li>Strong knowledge of LLMs and RAG.</li> <li>Familiarity with AWS, Databricks, and/or Dataiku platforms.</li> <li>Working knowledge of MLOps, including familiarity with containerization (e.g., Docker).</li> <li>Excellent troubleshooting skills and the ability to work independently.</li> <li>Strong organizational skills, including clear documentation of projects and ability to write clean code.</li> <li>Familiarity with agile project methodology and/or project development lifecycle.</li> <li>Experience with GitHub for version control.</li> <li>Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical audiences.</li> <li>Ability to complete work in an acceptable timeframe and manage a variety of detailed tasks and responsibilities simultaneously and with accuracy to meet deadlines, goals, and objectives and satisfy internal and external customer needs related to the job.</li> <li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future</li> </ul> Desired: <ul> <li>Master’s Degree in Statistics, Mathematics, Computer Science, Engineering or other analytical field, OR comparable direct work experience.</li> <li>Significant experience with MLOps and associated serving frameworks (i.e., Flask, FastAPI, etc.) and orchestration pipelines (e.g., SageMaker Pipelines, Step Functions, Metaflow, etc.).</li> <li>Significant experience working with open source LLMs (e.g., serving via TGI / vLLM, performing CPT and/or SFT, etc.).</li> <li>Experience using various AWS Services (e.g., Textract, Transcribe, Lambda, etc.).</li> <li>Proficiency in basic front-end web development (e.g., Streamlit).</li> <li>Knowledge of Object-Oriented Programming (OOP) concepts.</li> </ul> The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,600.00-$179,900.00. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> EA_ExpHire EA_GPS_ExpHire Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-inclusion.html" target="_blank">Learn more about our inclusive culture.</a> Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

Deloitte

Lead Data Scientist, GPS (Government & Public Services)

Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.Want to learn more about what it's like to work at Handshake? Check out these <a href="https://www.beforeyouapply.com/team/engineering-at-handshake" target="_blank">interviews</a> from our team members! <h1>Your impact</h1> At Handshake, we are assembling a team of dynamic engineers who are passionate about creating high-quality, impactful products. As a Senior Data Engineer, you will play a key role in driving the architecture, implementation, and evolution of our cutting-edge data platform. Your technical expertise will be instrumental in helping millions of students discover meaningful careers, irrespective of their educational background, network, or financial resources. Our primary focus is on building a robust data platform that empowers all teams to develop data-driven features while ensuring that every facet of the business has access to the right data for making informed conclusions. While this individual will work closely in collaboration with our ML teams, they will also be supporting our businesses data needs as a whole. <h1>Your role</h1> <ul> <li> Technical leadership: Taking ownership of the data engineering function and providing technical guidance to the data engineering team. Mentoring junior data engineers, fostering a culture of learning, and promoting best practices in data engineering. </li> <li> Collaborating with cross-functional teams: Working closely with product managers, product engineers, and other stakeholders to define data requirements, design data solutions, and deliver high-quality, data-driven features. </li> <li> Data architecture and design: Designing and implementing scalable and robust data products that enable self-serve analytics for internal and external use. Staying abreast of emerging technologies and tools in the data engineering space, evaluating their potential impact on the data platform, and making strategic recommendations. </li> <li> Performance optimization: Identifying performance bottlenecks in data processes and implementing solutions to enhance data processing efficiency. </li> <li> Data quality and governance: Ensuring data integrity, reliability, and security through the implementation of data governance policies and data quality monitoring. </li> <li> Advancing our Generative AI strategy: Leveraging your Data Engineering knowledge to design and implement data pipelines that support our AI Initiatives for both internal development and product features, advising and working in collaboration with our ML teams. </li> </ul> <h1>Your experience</h1> <ul> <li> Extensive data engineering experience: A proven track record in designing and implementing large-scale, complex data pipelines, data warehousing solutions, and data products. Deep knowledge of data engineering technologies, tools, and frameworks. </li> <li> Software engineering excellence: Experience implementing software engineering best practices in build services for data consumption, ensuring reliability, maintainability, and scalability of data delivery systems. </li> <li> Cloud platform proficiency: Hands-on experience with cloud-based data technologies, preferably Google Cloud Platform (GCP), including BigQuery, DataFlow, BigTable, and more </li> <li> Problem-solving abilities: Exceptional problem-solving skills, with the ability to tackle complex data engineering challenges and propose innovative solutions. </li> <li> Collaborative mindset: A collaborative and team-oriented approach to work, with the ability to communicate effectively with both technical and non-technical stakeholders. </li> </ul> <h1>Bonus areas of expertise</h1> <ul> <li> Machine learning for data enrichment: Experience in applying machine learning techniques to data engineering tasks for data enrichment and augmentation. </li> <li> End to end data service deployment, comfortable with product alignment of data-driven initiatives </li> <li> Containerization and orchestration: Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes. </li> <li> dbt: Experience with dbt as a data transformation tool for orchestrating and organizing data pipelines. </li> </ul> <h1>Compensation range</h1> $184,000 -$230,000 For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above. <h1>About us</h1> Handshake is the career platform for Gen Z. With a community of over 17 million students, alumni, employers, and career educators, Handshake’s network is where career advice and discovery turn into first, second, and third jobs. Nearly 1 million companies use Handshake to build their future workforce—from Fortune 500 to federal agencies, school districts to startups, healthcare systems to small businesses. Handshake is built for where you’re going, not where you’ve been. When it comes to our workforce strategy, we’ve thought deeply about how work-life should look at Handshake. With our hybrid-work model, employees benefit from collaboration and shared team experiences three days per week in our vibrant offices, and enjoy the flexibility of remote work two days per week (unless noted in the specific job posting). Handshake is headquartered in San Francisco, with offices in New York, London, and Berlin. <h1>What we offer</h1> At Handshake, we'll give you the tools to feel healthy, happy and secure. Benefits below apply to employees in full-time (not Contract) positions. <ul> <li>💰 Equity and ownership in a fast-growing company.</li> <li>🍼 16 Weeks of paid parental leave for birth giving parents &amp; 10 weeks of paid parental leave for non-birth giving parents.</li> <li>💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.</li> <li>📚 Generous learning &amp; development opportunities and an annual $2,000/£1,500/€1,850 stipend for you to grow your skills and career.</li> <li>💰 Financial coaching through Origin to help you through your financial journey.</li> <li>🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.</li> <li>🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).</li> <li>🥗 Free lunch provided 3x a week across all offices.</li> <li>🤝 Referral bonus to reward you when you bring great talent to Handshake.</li> </ul> (US-specific benefits, in addition to the first section) <ul> <li>🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.</li> <li>🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.</li> <li>💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.</li> <li>🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!</li> <li> 💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more. </li> </ul> (UK-specific benefits, in addition to the first section) <ul> <li>🏦 Pension Scheme: Handshake will provide you with a workplace pension, where you will make contributions based on 5% of your salary. Handshake will pay the equivalent of 3% towards your pension plan, subject to qualifying earnings limits.</li> <li>🏝 Up to 25 days of vacation to encourage people to reset, recharge, and refresh, in addition to 8 bank holidays throughout the year.</li> <li>🤝 Regular offsites each year to bring the team together + opportunity to travel to our HQ in San Francisco.</li> <li>🛍️ Discounts across various high street retailers, cinemas and other social activities exclusively for Handshake UK employees.</li> </ul> (Germany-specific benefits, in addition to the first section) <ul> <li>🏝 25 days of annual leave + 5 days of a winter #ShakeBreak, a one-week period of Collective Time Off across the company.</li> <li>🤝 Regular offsites each year to bring the team together + opportunity to travel to our HQ in San Francisco once a year.</li> <li>🧘 Urban sports club membership offering access to a diverse network of fitness and wellness facilities.</li> <li>🛍️ Discounts across various high street retailers, cinemas and other social activities exclusively for Handshake Germany employees.</li> </ul> Looking for more? Explore our mission, values and comprehensive US benefits at <a href="https://joinhandshake.com/careers" target="_blank">joinhandshake.com/careers.</a> Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

Handshake

Senior Data Engineer

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.CVS Health has an exciting opportunity for an Informatics Manager to join our dynamic Risk Adjustment Analytics team! In this role, you will support data analysis, predictive modeling, and evaluation reporting within our Medicaid lines of business. The position will involve extracting, collecting, analyzing, and interpreting health, utilization, and financial data from many sources to address business questions regarding population health management, health and economic outcomes, and other business needs. You will be responsible for maintaining risk score model integrity across multiple states and communicate to business leaders the key drivers of results. Join this exciting opportunity to work directly with different teams across the organization and have a meaningful impact on our business! Successful candidates will possess the following abilities: - Design and code efficiently in SQL, SAS or similar programming language - Execute algorithms to solve business problems- Willing to probe into technical details, and problem solve - Build and improve processes - Juggle multiple priorities - Be organized and exhibit attention to detail Required Qualifications - 5 or more years of data analytics experience - 3 or more years of experience in technical programming fundamentals in SQL, SAS, or other data management software - 3 or more years of experience in creating reports and pivot tables in Excel Preferred Qualifications - Knowledge of government-regulated healthcare programs such as Medicare or Medicaid - Knowledge of health insurance concepts - Experience working in risk adjustment - Experience working at a health plan - Attention to detail and working independently - Project management experience EducationBachelor's Degree or equivalent work experience requiredAnticipated Weekly Hours40Time TypeFull timePay RangeThe typical pay range for this role is:$54,300.00 - $159,120.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul> <li>Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li> <li>No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li> <li>Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li> </ul>For more information, visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">https://jobs.cvshealth.com/us/en/benefits</a>We anticipate the application window for this opening will close on: 05/25/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Informatics Manager, Risk Adjustment Analytics

<h1>About Prove </h1> As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove’s phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating expenses and fraud losses. Over 1,000 enterprise customers use Prove’s platform to process 20 billion customer requests annually across industries, including banking, lending, healthcare, gaming, crypto, e-commerce, marketplaces, and payments. For the latest updates from Prove, <a href="https://www.linkedin.com/company/proveidentity/" target="_blank">follow us on LinkedIn.</a> Prove is driving the future of digital identity. We are looking for Provers who know how to make an impact. We’re talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smart but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together. Prove has big plans, and we’re excited about the future. If this sounds like the place for you – come join our team! Title: Senior Software Engineer Department: Engineering Reports To: Senior Director, Engineering FLSA Status: Exempt Location: US (Remote) This Senior Software Engineer will be part of the team designing and developing the digital identity infrastructure. Leveraging your knowledge and passion for excellence you will deliver well-thought-out software solutions as part of a fault-tolerant, scalable platform utilizing a variety of cutting-edge technologies. This is a hands-on role where you will need to demonstrate the skills, experience, and confidence to work with other senior engineers and product management team members to deliver solutions that will delight our customers. Key Responsibilities: <ul> <li>Write well designed, testable, efficient code that meets coding standards.</li> <li>Ensure designs comply with requirements, perform code reviews.</li> <li>Own delivery of software features from inception to production, develop project roadmap, engage with Product to define technical requirements and design, engage with IT/Ops to ensure software makes it out to production in a timely manner.</li> <li>Exercise creative thinking and imagination to find solutions to hard problems.</li> <li>Lead projects and mentor engineers.</li> <li>Promote, maintain, and enhance our cultural values of humility, passion, inclusion, and leadership.</li> </ul> Qualifications and Experience: <ul> <li>10+ years of software development experience</li> <li>Deep understanding of object-oriented programming and experience with at least one object-oriented programming language (e.g. Python, Java)</li> <li>Experience architecting and developing solutions to complex problems.</li> <li>Experience with public cloud services (AWS or Google Cloud Platform or Azure)</li> <li>Bachelors in computer science or other quantitative fields or relevant experience.</li> <li>Experience with database internals, database language theories, database design, SQL, Graph QL and No SQL technologies.</li> <li>Prior technical leadership experience </li> <li>AWS Certification</li> <li>DevOps Experience highly desirable</li> <li>Strong passion for learning about our products and markets through in-house and external training.</li> <li>Experience in high growth /pre-IPO Technology companies is a plus.</li> </ul> This position description should not be considered the final description of the position. The position description is not intended to be an all-inclusive list of duties and standards of the positions. It should be assumed that we would, to some extent, structure responsibilities in accordance with the successful candidate’s capabilities and changing business conditions. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. The salary range for this role is $145,000 - $180,000 plus company bonus. The offered salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as location, internal equity, and alignment with market data. Benefits &amp; Perks for FTE Provers: <ul> <li>Competitive salaries &amp; Bonus Plan (for eligible roles) and Equity Plan</li> <li>Modern Health for financial, mental, and physical wellness</li> <li>401(k) Retirement Plan &amp; Match (US Offices) and Local Country Pension (International Offices)</li> <li>Unlimited Vacation and Flexible hours</li> <li>Comprehensive medical benefits for you and your family ❤️</li> <li>Emotional &amp; Physical Wellness – Access to wellness services (EAP &amp; Prove Well-Being Reimbursement)</li> <li>Bottomless snacks &amp; beverages for certain office locations</li> <li>Daily GrubHub stipend for lunch if coming into the office (US Offices)</li> <li>A great place to work and connect with other talented Provers like yourself!</li> </ul> Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Prove we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Equal Opportunity Employment: Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics Privacy &amp; Data Protection: When you are applying for a job at Prove, we collect and use your personal information in the job application process. To understand more about how Prove uses your personal information, please see our <a href="https://www.prove.com/legal/overview#Recruitment-Privacy-Policy" target="_blank">Recruitment Privacy Policy</a> on our website.

Prove

Senior Software Engineer - Data Engineering Team

<h1> Senior Data Analytics Engineer, USRM Modeling Data Solutions</h1> Job Locations US-Remote | US-OH-Columbus | US-WA-Seattle | US-MA-Boston | US-NH-Portsmouth <dl> <dt>ID</dt> <dd> 2025-68773 </dd> <dt>Position Type</dt> <dd> Full-Time </dd> <dt>Minimum Salary</dt> <dd> USD $66,000.00/Yr. </dd> <dt>Maximum Salary</dt> <dd> USD $157,000.00/Yr. </dd> <dt>Typical Starting Salary</dt> <dd> $76,000-$125,000 </dd> <dt>Flexible Time Off Annual Accrual - days</dt> <dd> 20 </dd> <dt>Application Deadline</dt> <dd> 3/11/25 </dd> </dl> <h2> Pay Philosophy </h2> The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. <h2> Description </h2> If you are passionate about data engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data Solutions is seeking experienced data analytics engineers to join its personal lines auto and personal lines property teams. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions. **This is a ranged posting, level offered will be based on skills and experience at manager discretion.** **This role may have in-office requirements depending on candidate location.** Responsibilities: <ul> <li>Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis.</li> <li>Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance.</li> <li>Implement data quality checks and governance best practices to ensure data accuracy and reliability.</li> <li>Utilize Python, Spark, and SQL queries to extract, transform, and analyze data from various sources.</li> <li>Work closely with cross-functional teams to understand their analytical needs and provide tailored solutions that meet business objectives.</li> <li>Stay current with industry trends, emerging tools, and best practices in data analytics and engineering to continuously enhance analytical capabilities.</li> </ul> <h2> Qualifications </h2> <ul> <li>Strong written and oral communication skills required</li> <li>Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred</li> <li>Master`s in same or related disciplines strongly preferred</li> <li> 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake. </li> </ul> <h2> About Us </h2> As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: <a href="https://lmi.co/Benefits" target="_blank">https://LMI.co/Benefits</a> Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices <ul> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-fair-chance-act.pdf" target="_blank">California</a></li> <li><a href="https://bca.lacity.gov/Uploads/fciho/FCIHO-factsheet-2024-03-05.pdf" target="_blank">Los Angeles Incorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2025/01/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf" target="_blank">Los Angeles Unincorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/pa-philadelphia-fair-chance-law.pdf" target="_blank">Philadelphia</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-san-francisco-fair-chance.pdf" target="_blank">San Francisco</a></li> </ul> <h2>Options</h2> <a href="https://careers-libertymutual.icims.com/jobs/68773/senior-data-analytics-engineer%2c-usrm-modeling-data-solutions/job?mode=apply&amp;apply=yes&amp;hashed=-1834448064" target="_blank"> Apply NowApply </a><a href="https://careers-libertymutual.icims.com/jobs/68773/senior-data-analytics-engineer%2c-usrm-modeling-data-solutions/referral?hashed=-625979090" target="_blank"> Email this job to a friendRefer </a> Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. <h2> Need help finding the right job? </h2> We can recommend jobs specifically for you! <a href="https://careers-libertymutual.icims.com/connect?back=intro&amp;findajob=1&amp;hashed=-625979090" target="_blank"> Click here to get started. </a> <a href="https://icims.help/candidate-faq" target="_blank">System Troubleshooting</a>Software Powered by iCIMS <a href="http://www.icims.com/platform_help?utm_source=platform&amp;utm_medium=link&amp;utm_content=page1&amp;utm_campaign=platform%20help" target="_blank">www.icims.com</a>

Liberty Mutual Strategic Ventures

Senior Data Analytics Engineer, USRM Modeling Data Solutions

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Overview:CVS Caremark is seeking a Senior Decision Scientist to play a pivotal role in enhancing the accuracy of our underwriting processes through advanced analytics. In this key position, you will leverage your analytical expertise to conduct error attribution and advanced root cause analysis, providing actionable insights that drive strategic decision-making.Key Responsibilities:<ul> <li>Identify business opportunities through data-driven insights and develop high-impact analytical solutions.</li> <li>Independently explore data and create a structured analytical work plan to derive meaningful insights.</li> <li>Formulate, execute, and analyze hypotheses to pinpoint factors contributing to forecasting errors.</li> <li>Define, track, and analyze key performance indicators (KPIs) that align with portfolio objectives to measure project success.</li> <li>Communicate analytical solutions and results through compelling narratives and visualizations, engaging stakeholders to drive informed business decisions.</li> <li>Drive project execution in collaboration with cross-functional teams, including data engineering and data science, ensuring alignment with business requirements.</li> <li>Understand coding, GIT, documentation, and quality assurance best practices.</li> <li>Present actionable recommendations to senior leadership and internal clients.</li> </ul>Qualifications:Required:3+ years of experience in business analytics, analytical or strategy consulting, or a related field, with a proven ability to communicate effectively with stakeholders and provide actionable insights to support strategic decision-making.<ul> <li>Proficiency in SQL and Python (Pandas) with 3+ years of professional experience.</li> <li>Strong statistical background with experience in experimental design and ROI analysis.</li> <li>Proficient in Microsoft Office Suite, including MS Excel and PowerPoint.</li> </ul>Preferred:<ul> <li>Excellent communication and presentation skills, particularly in PowerPoint.</li> <li>Strong problem-solving and analytical abilities.</li> <li>Solid SQL coding skills are essential.</li> <li>Experience in the PBM industry and/or management consulting is a plus.</li> <li>Proficiency in Tableau is advantageous.</li> </ul>Education:<ul> <li>Bachelor’s degree in Finance, Economics, Mathematics, Actuarial Science, Data Science, or a related field is required.</li> <li>A Master’s degree in a quantitative field or an MBA is strongly preferred.</li> </ul>Why Join Us?This is a unique opportunity to make a significant impact on Caremark’s Underwriting business. If you are a strategic thinker with a passion for analytics and a desire to drive meaningful change, we invite you to apply and be part of our dynamic teamAnticipated Weekly Hours40Time TypeFull timePay RangeThe typical pay range for this role is:$83,430.00 - $203,940.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul> <li>Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li> <li>No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li> <li>Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li> </ul>For more information, visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">https://jobs.cvshealth.com/us/en/benefits</a>We anticipate the application window for this opening will close on: 03/31/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

74 Data Science Jobs