field_remote_option

job_industry

field_job_occupational_field_parents_all

job_organization_name

job_upgrade_is_featured

Outlier

Bring Your Voice to AI Training - English

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Global Markets Data Incident Management Team The GMDM Team is responsible for establishing and executing data management strategy and data governance for GM. The team works closely with other groups within GM, other lines of business and Enterprise functions. The team drives strategic initiatives and projects in the areas of data management and governance. The GM Data Incident Management team within GMDM is accountable for remediation of data incidents concerning consumption of GM Data. The team triages, prioritizes and remediates GM data incidents, working closely with other groups within GM and other lines of business, including Technology, support partners (in particular Market Risk and Counterparty Credit Risk) and Enterprise functions at all levels. The ideal candidate will have expert knowledge of GM products, data structures, processes, strong project management skills, and experience in running data management projects, and understanding Bank of America’s policies, standards, and procedures. Role Responsibilities: <ul> <li>Manage data incident triage with key stakeholders.</li> <li>Act as a liaison between technical and non-technical stakeholders, translating complex data concepts into actionable insights.</li> <li>Provide SME knowledge and interface with various technology, quantitative, and business groups, representing providers and consumers of GM’s data.</li> <li>Deliver insights from large datasets, design data solutions, and communicate solutions to stakeholders.</li> <li>Strong ability to conceptualize business requirements as functions and data models.</li> </ul> Required Skills: <ul> <li>Bachelor's degree or equivalent work experience.</li> <li>High intensity and initiative – thrives in a fast-paced, high-stakes environment.</li> <li>Curious and analytical mindset – proactive in exploring new ways to improve and optimize data processes.</li> <li>Strong analytical and relentless problem-solving skills, critical thinking.</li> <li>In depth knowledge of one or more areas within GM or related functions.</li> <li>Knowledge of financial markets, traded products, trade life cycle management and market conventions.</li> <li>Ability to facilitate discussions across various levels of stakeholders.</li> <li>Ability to multitask and properly prioritize multiple projects.</li> <li>Good communication, interpersonal, and organizational skills.</li> <li>Proficiency in Python (Pandas, NumPy) for data processing and automation.</li> <li>Strong SQL skills, with experience in relational databases (PostgreSQL, SQL Server, Oracle) and NoSQL databases.</li> </ul> Desired Skills: <ul> <li>Knowledge of the various functions within GM trading organization and other functions interacting with GM, such as Operations, Market Risk, Counterparty Credit Risk Finance.</li> <li>Knowledge of General Ledger and Chart of Accounts.</li> <li>Knowledge / understanding of trading agreements.</li> <li>Knowledge of big data frameworks (Hadoop, Spark, Kafka).</li> <li>Understanding of API integrations, data lakes, and real-time data streaming architectures.</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Bank of America

Global Markets Data Management- Vice President/Director

Coding Expertise for AI Training (US Spanish)

Job TitleSr. Spatial Data Manager, RemoteJob Description SummaryInform foundational strategic vision to drive strategy and commit to governance of metrics that achieve the goals of the organizationJob Description<ul> <li>Have working knowledge and/or experience in implementation or execution of a strategic plan related to client’s overall real estate strategy</li> <li>Utilize knowledge and/or experience in implementation or execution of a strategic plan related to client’s overall real estate strategy</li> <li>Show strong verbal presentation skills and ability to communicate to executive level</li> <li>Process work quickly, accurately, and with changing priorities</li> <li>Have a basic understanding of Corporate Real Estate and Financial concepts</li> <li>Be a strong team player who is adaptable and capable of driving change/change management within spatial data management</li> <li>Demonstrate advanced relationship building skills</li> <li>Manage and coordinate physical changes to Archibus</li> <li>Support portfolio space inventory</li> <li>Populate databases, maintain/update space boundary and record drawings, ensure space and data standards are maintained, generate ad-hoc reports, evaluate space assignments, and identify opportunities to improve reporting efficiency</li> <li>Act as subject matter expert, providing options on how to best facilitate client requests through Archibus</li> <li>Act as single POC for Archibus, polyline drawing files, and management and application support</li> <li>Participate in client and internal project review meetings</li> <li>Maintain a Go-Live/Upload schedule that will be issued in conjunction with the CAFM Update Report, cadence to be determined</li> <li>Maintain As-Built Drawing Library for client portfolio</li> <li>Coordinate CAD/CAFM planning, work order, and design and construction updates. Contribute subject matter expertise in the areas of spatial data management, CAD/CAFM administration, space and occupancy data analytics, and space utilization measurement</li> <li>Ensure compliance of client space data standards and establish a consistent data governance model </li> <li>Provide vital linkage between space management platform and industry best practices; introduce innovation to the account team/client</li> <li>Demonstrate expertise in CAD/CAFM and the methodologies and calculations used to generate and analyze allocation deliverables</li> <li>Provide support as necessary to peer teams as it relates to space, occupancy, and/or utilization data</li> <li>Contribute to data governance process - control of input sources and data consistency</li> <li>Contribute to data confidence - control of data measurement standards and KPIs</li> </ul> Cushman &amp; Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements. The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications. The company will not pay less than minimum wage for this role. The compensation for the position is: $93,500.00 - $110,000.00Cushman &amp; Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman &amp; Wakefield, please call the ADA line at 1-888-365-5406 or email <a href="#">HRServices@cushwake.com</a>. Please refer to the job title and job location when you contact us.INCO: “Cushman &amp; Wakefield”

Cushman & Wakefield

Sr. Spatial Data Manager, Remote

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 Summary We are looking for a Principal Data Scientist to join our Government Consumer Analytics team at CVS Health. This high-level individual contributor will partner closely with the AVP of Government Consumer Analytics to drive hands on technical excellence across the most complex projects across the portfolio, lead a culture of technical rigor and excellence, and define key standards across an organization of ~80 data scientists and engineers.Description / Fundamental Components:Hands-On Data Science Excellence for Highly Complex Projects (60%)<ul> <li>Anticipates and solves strategic and high-risk business problems with broad impact on the business area by applying leading-edge theories and techniques to investigate problems, detect patterns and recommend solutions</li> <li>Leads development and execution of new and/or highly complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes</li> <li>Establishes analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses</li> <li>Evaluate advanced industry-leading approaches and determine which to incorporate into CVSH technical approach</li> <li>Work across 2-3 highly complex projects at a time (50/30/20), with a combination of hands-on, problem solving, and coaching</li> </ul>Technical Development &amp; Mentorship (25%)<ul> <li>Hold team-wide office hours regarding technical challenges and problem solving</li> <li>1:1 technical coaching with 10-20 individual contributor teammates</li> </ul>Define Data Science Standards &amp; Best Practices (15%)<ul> <li>Identify opportunities to implement improved best practices</li> <li>Provides guidance to develop enterprise-wide analytics strategy and roadmap</li> </ul>Required Qualifications<ul> <li>10+ years of progressively complex related analytics experience</li> <li>8+ years' experience leading analytics project from concept to delivery, coordinating across a diverse group of stakeholders, anticipating and preventing roadblock and driving business impact</li> <li>8+ years' experience with advanced analytics tools and languages, analyzing large data sets from multiple data sources</li> <li>8+ years' experience solving analytics problems using advanced statistics, machine learning, mathematical algorithms and predictive modeling</li> <li> 8+ years' experience with: Python, SQL, Cloud applications (GCP, AWS, Azure), machine learning, casual inference and experimental design </li> <li>5+ years' industry experience demonstrating strong written and verbal communication skills, including the ability to present complex ideas to various audiences</li> </ul>Preferred Qualifications<ul> <li>Excellent analytical and problem-solving skills</li> <li>Strong organizational, management and leadership skills</li> <li>Knowledge of the health care industry, products, systems, business strategies and products</li> </ul>Education<ul> <li>Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, Physics, Operations Research, Engineering, or related discipline</li> <li>Master's degree or PhD 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: 06/21/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

CVSHealth

Principal Data Scientist - Government Consumer Analytics

Chemistry Expertise Sought for AI Training

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: G2754 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: $122,000—$147,000 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

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* Wholesale Risk Analytics (WRA) provides decision support services to enable our banking and markets, wealth management, capital management and credit risk business partners to manage risk well. To accomplish this, we build, develop and maintain models for risk and loss measurement. Additionally, we produce and administer forecasts supporting allowance and stress-testing both domestically (US) and internationally. Our teams complement each other and benefit from broad and diverse employment and experience within industries including government, academia, finance, law, consulting and the military. Through developing our people, embracing operational excellence to drive process improvements, and investing in strategic data initiatives, we provide enhanced risk management capabilities, insights and analysis to our business partners. Job Description* Wholesale Risk Analytics (WRA) is seeking an eager candidate ready to delve into the world of transformative model implementation and technology infrastructure. The hired candidate will have the opportunity to explore software development and data infrastructure on the strategic GRA Core platform (GCP). The hired candidate will have the opportunity to collaborate with GRA and Technology teams, leverage software engineering and model development skills, and gain expertise on how meet business and regulatory requirements in a fast-paced environment. This role requires a strong technical acumen, encompassing data analysis, computer programming, organization, good verbal and written communication, and software design capabilities. You will be at the forefront of Python and PySpark software development, and interface with Hadoop, HIVE and Exadata for model data input and output integration. Responsibilities* The role involves adhering to software standards and controls established by the model development team for model implementation, along with developing model execution code and operational functionalities that support models in production, including GRA Core Platform (GCP) workflows. In addition, the role will entail Python implementation of new and existing models, analytic processes, or system approaches. This role will also be instrumental in constructing a strategic model infrastructure using Python and PySpark, preparing code documentation, and collaborating with technology teams to deploy code in production. The role requires strong quantitative and computer programming skills (specifically in Python), and the capability of understanding and contributing to software design and GRA code control standards. Requirements* Education* <ul><li>BE / MCA</li></ul> Certifications If Any: NA Experience Range* <ul><li>7 to 9 Years</li></ul> Foundational Skills* <ul> <li>3 years of hands-on experience Python and PySpark programming</li> <li>2 years of programming experience with databases such as Oracle, Hadoop, and/or HIVE</li> <li>2 years of JIRA and Git experience for software development</li> <li>Proficiency in writing functional specifications for software implementation</li> <li>Exceptional analytical and problem-solving skills</li> <li>Basic Software engineering and design skills with a commitment to bust software development practices</li> <li>A strategic thinker with aptitude to leverage technical skills to solve business problems</li> <li>Experience in designing, developing, and implementing scalable infrastructure solutions</li> </ul> Desired Skills* <ul><li>Capable of documenting processes, inputs, outputs, and requirements, along with identify gaps and improve workflow.</li></ul> Work Timings* <ul><li>11:30 AM - 8:30 PM</li></ul> Job Location* <ul><li>Hyderabad</li></ul>

Data Scientist I A - GBS IND

Open to remote. However, if local to one of our corporate office, it will require hybrid schedule (Milwaukee/Franklin: 3 days onsite; NYC: 2 days onsite)Position Overview:We are looking for a Databricks Developer with a strong background in Python, SSIS, ETL processes, PL/SQL, and data integration to design, develop, and maintain data pipelines and ETL workflows. The ideal candidate will have hands-on experience with Databricks, a deep understanding of data integration techniques, and a solid foundation in unit testing. This role requires a detail-oriented individual who thrives in a fast-paced environment and is passionate about delivering high-quality data solutions.Key Responsibilities:<ul> <li> Databricks Development: <ul> <li>Design and implement scalable data pipelines and workflows using Databricks.</li> <li>Optimize performance of Databricks notebooks and clusters.</li> <li>Develop and maintain Databricks-based ETL processes.</li> </ul> </li> <li> Python Programming: <ul> <li>Write Python scripts for data manipulation, transformation, and analysis.</li> <li>Integrate Python code with Databricks notebooks and workflows.</li> </ul> </li> <li> ETL Processes: <ul> <li>Design, develop, and manage ETL processes to handle large volumes of data.</li> <li>Implement data cleansing, transformation, and loading strategies.</li> </ul> </li> <li> PL/SQL Development: <ul> <li>Write and optimize PL/SQL procedures, functions, and queries.</li> <li>Perform database operations, including data extraction and transformation.</li> </ul> </li> <li> Data Integration: <ul> <li>Integrate data from various sources, ensuring data accuracy and consistency.</li> <li>Implement solutions for data synchronization and consolidation.</li> </ul> </li> <li> Data Pipelines: <ul> <li>Design, develop, and maintain robust data pipelines for real-time and batch processing.</li> <li>Monitor and troubleshoot data pipeline issues to ensure reliable data flow.</li> </ul> </li> <li> Unit Testing: <ul> <li>Develop and execute unit tests for data integration and ETL processes.</li> <li>Ensure that data solutions meet quality standards and business requirements.</li> </ul> </li> </ul>Requirements:<ul> <li>Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degree preferred.</li> <li>Experience: Minimum of 6+ years of experience in Databricks development, Python programming, and ETL processes.</li> <li> Technical Skills: <ul> <li>Proficiency with Databricks, Python, PL/SQL ,SSIS and ETL frameworks.</li> <li>Strong experience in developing and managing data pipelines and integration solutions.</li> <li>Knowledge of data warehousing concepts and best practices.</li> <li>Experience with unit testing frameworks and methodologies.</li> </ul> </li> <li> Soft Skills: <ul> <li>Strong analytical and problem-solving skills.</li> <li>Excellent communication and collaboration abilities.</li> <li>Ability to work independently and as part of a team in a fast-paced environment.</li> </ul> </li> </ul>Preferred Qualifications:<ul> <li>Certifications in Databricks, Python, or related technologies.</li> <li>Experience with SSIS, able to read and understand packages</li> <li>Familiarity with data visualization tools and methodologies.</li> </ul>#LI-Remote Compensation Range: Pay Range - Start: $102,060.00Pay Range - End:$189,540.00 Geographic Specific Pay Structure: 210 - Structure 110: 112,280.00 USD - 208,520.00 USD&amp;#xa;210 - Structure 115: 117,390.00 USD - 218,010.00 USDWe believe in fairness and transparency. It’s why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you’re living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click <a href="http://careers.northwesternmutual.com/pay-transparency/" target="_blank">here</a> to learn more.Job Posting End Date:09/30/2025The timeline for this job posting may be shortened or extended based on organizational needs.Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!Northwestern Mutual is an <a href="https://www.northwesternmutual.com/equal-employment-opportunity-policy/" target="_blank">equal opportunity employer</a> who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.

Northwestern Mutual

Data Engineer Sr

At Webflow, our mission is to bring development superpowers to everyone. As the pioneer of the Website Experience Platform (WXP), we’re redefining how teams Build, Manage, and Optimize for the web — combining visual development, powerful content management systems, AI-driven personalization, seamless hosting, and end-to-end analytics in a single, unified platform. With AI at the core, Webflow helps teams move faster, create more performant digital experiences, and scale without heavy engineering support. From independent designers and creative agencies to global enterprises, hundreds of thousands of organizations use Webflow to turn ideas into reality — and to power what’s possible on the web. We’re adding a Staff Data Scientist to our team to help inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. You’ll partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience. <h1>About the role:</h1> <ul> <li>Location: Remote-first (United States; BC &amp; ON, Canada)</li> <li>Full-time </li> <li>Permanent </li> <li>Exempt</li> <li>Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location. <ul> <li>United States (all figures cited below in USD and pertain to workers in the United States) <ul> <li>Zone A: [$175,000 - $247,000</li> <li>Zone B: [$164,000 - $232,000]</li> <li>Zone C: [$154,000 - $217,000]</li> </ul> </li> <li>Canada (All figures cited below in CAD and pertain to workers in ON &amp; BC, Canada) <ul> <li>[$199,000 - $281,000]</li> </ul> </li> </ul> </li> </ul> This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our <a href="https://webflow.com/careers#pay-zones" target="_blank">Careers page</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. <ul> <li>Reporting to the VP of Data &amp; Insights</li> </ul> As a Staff Data Scientist, you’ll: <ul> <li>Lead high-impact projects to drive insights and decision-making across Webflow’s most critical initiatives.</li> <li>Define and evolve product and business metrics in collaboration with cross-functional teams to measure user experience and product performance</li> <li>Advance our experimentation capabilities, guiding design, statistical analysis, and interpretation of A/B tests, and championing a rigorous, iterative approach to product development.</li> <li>Uncover growth opportunities through exploratory data analyses, customer segmentation, and predictive modeling that surface actionable insights across the customer journey.</li> <li>Lead technical and non-technical team members with processes and technical expertise for executing experiments, answering open ended business questions with data, and researching levers for improving our product</li> <li>Partner with stakeholders in Product, Engineering, Design, Marketing, and User Research to blend qualitative and quantitative insights, informing product direction and enhancing user experience.</li> <li>Develop our data foundation collaborating on our strategic roadmap for building new pipelines and tools that contribute to our connected, complete understanding of our customer journey and improve our customer experience.</li> </ul> In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role. <h1>About you:</h1> You’ll thrive as a Staff Data Scientist if you: <ul> <li> Have 5+ years of experience in a Data Science (or similar) position </li> <li> Have interest and experience in mentoring and developing the technical skills of your team members, helping to build a collaborative data science practice</li> <li> Have demonstrated experience working as a Data Scientist (or the equivalent in quantitative analysis), contributing to the strategic roadmap, providing high quality, reproducible analysis that impacts company strategy and decision making, building tools to enable scalable processes and enabling others to do the same</li> <li> Have expertise in applied statistics (e.g. predictive modeling, hypothesis testing, regressions), segmentation and experimentation (e.g. A/B testing) in an industry setting and the ability to explain concepts to technical and non-technical team members</li> <li> Have proficiency in SQL, and experience with a programming language like Python or R</li> <li> Curious about diving into the nuances of our business and product data </li> <li> Thrive collaborating with product teams in a fast-paced and sometimes ambiguous environment, solving complex and nuanced problems</li> <li> Engage both technical and nontechnical audiences with clear and compelling communication</li> <li> Stay curious and open to growth — actively building fluency in emerging technologies like AI to unlock creativity, accelerate progress, and amplify impact.</li> </ul> <h3>Our Core Behaviors:</h3> <ul> <li> Obsess over customer experience. We deeply understand what we’re building and who we’re building for and serving. We define the leading edge of what’s possible in our industry and deliver the future for our customers</li> <li> Move with heartfelt urgency. We have a healthy relationship with impatience, channeling it thoughtfully to show up better and faster for our customers and for each other. Time is the most limited thing we have, and we make the most of every moment</li> <li> Say the hard thing with care. Our best work often comes from intelligent debate, critique, and even difficult conversations. We speak our minds and don’t sugarcoat things — and we do so with respect, maturity, and care</li> <li> Make your mark. We seek out new and unique ways to create meaningful impact, and we champion the same from our colleagues. We work as a team to get the job done, and we go out of our way to celebrate and reward those going above and beyond for our customers and our teammates</li> </ul> <h3>Benefits &amp; wellness</h3> <ul> <li>Equity ownership (RSUs) in a growing, privately-owned company</li> <li>100% employer-paid healthcare, vision, and dental insurance coverage for full-time employees (working 30+ hours per week) and their dependents. Full-time employees may also be eligible for voluntary insurance options where applicable in the respective country of employment</li> <li>12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability leave for birthing parents to be used before child bonding leave (note: where local requirements are more generous, employees receive the greater benefit); full-time employees also have access to family planning care and reimbursement</li> <li>Flexible PTO for all locations and sabbatical program</li> <li>Access to mental wellness and professional coaching, therapy, and Employee Assistance Program</li> <li>Monthly stipends to support work and wellness</li> <li>401k plan or pension schemes (in countries where statutorily required), and other financial wellness benefits, like CPA and financial advisor coverage</li> </ul> Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment. <h3>Remote, together</h3> At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are <a href="https://webflow.com/diversity-equity-inclusion" target="_blank">committed</a> to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records. <h3>Stay connected</h3> Not ready to apply, but want to be part of the Webflow community? Consider following our story on our <a href="https://webflow.com/blog" target="_blank">Webflow Blog</a>, <a href="https://www.linkedin.com/company/webflow-inc-/" target="_blank">LinkedIn</a>, <a href="https://twitter.com/webflow" target="_blank">X (Twitter)</a>, and/or <a href="https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm" target="_blank">Glassdoor</a>. <h3>Please note:</h3> We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. For information about how Webflow processes your personal information, please review <a href="https://webflow.com/legal/applicant-privacy-notice" target="_blank">Webflow’s Applicant Privacy Notice</a>.

157 Data Science Jobs