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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 Analytics Engineering team is part of the Data Engineering organization, whose mission is to build reliable and trusted data sources and tools that enable timely and accurate data-driven decision-making. Sitting at the intersection of data engineering, data science, and business analytics, our team transforms raw data into actionable insights through solid pipelines, scalable data models, and intuitive tools. By prioritizing data quality, reliability, and usability, we make sure stakeholders can trust and leverage data to drive real business impact. What you’ll be doing: This role combines technical expertise with business impact, whether it’s building robust data pipelines or directly solving business problems and delivering insights. As the leader of the analytics engineering team, you’re going to: <ul> <li> Build and lead the team: Hire, mentor, and grow a team of analytics engineers who will work closely with product and data science teams.</li> <li> Develop deep product expertise: Ensure your team deeply understands product data, building targeted data marts and tools that solve real business problems.</li> <li> Leverage AI and LLMs: Investigate how LLMs and AI can change analytics and build data foundations that support these future needs. Focus on creating data marts optimized for LLMs and AI-driven analytics.</li> <li> Unlock the value of our data: Partner with stakeholders to maximize the commercial impact of data by building scalable models, optimizing pipelines, and integrating cross-product data for better decision-making.</li> <li> Directly deliver business impact: Oversee the creation of dashboards, ad-hoc analytics, and self-service tools that empower product teams to make data-driven decisions.</li> <li> Prioritize outcomes over tools: Leverage the right frameworks and technologies to drive value, whether by developing abstractions, creating internal data apps, or improving scalable workflows.</li> <li> Bridge the gap between business and data: Liaise between product data science, product managers, and central data engineering. Ensure your team uses central data tools and infrastructure while remaining agile and product-focused.</li> </ul> What We Look For in You We’re looking for a hands-on leader to build and manage the Analytics Engineering team, bridging data engineering and product data science. Your team will create domain-specific data marts, tools, and analytics solutions that drive our products and business. You’ll build tailored data solutions while staying aligned with data engineering best practices. This is a chance to shape the future of analytics as we integrate LLMs and AI-driven insights. Success in this role requires a mix of leadership, technical expertise, and product mindset. Here’s what we’re looking for: <ul> <li> Resourceful problem solver: You thrive on tackling new and complex challenges, even those outside of your expertise. Whether it’s learning a new programming language, diving into an unfamiliar dataset, or seeking insights from domain experts, you do whatever it takes to find the best solution. Difficult or ambiguous problems don’t frustrate you; they motivate you.</li> <li> AI-forward: You’re excited about the role of LLMs and AI in analytics, leveraging them to boost productivity while applying prompt engineering and design to improve response accuracy and relevance. You bring forward-thinking ideas on how to prepare for an AI-driven future.</li> <li> Experienced in building and leading teams: You have experience hiring and managing data teams, and know how to inspire and grow talent.</li> <li> Hands-on tech lead: You’re comfortable balancing hands-on work with strategic leadership.</li> <li> Data modeling and tools: You’re an expert in data modeling, ETL/ELT, and modern data stack tools (e.g., Airflow, DBT, Snowflake, Hex).</li> <li> Engineering best practices: You’re comfortable with version control (GitHub), CI/CD, modern development workflows, OOP, building scalable frameworks, and advanced SQL for data transformation, querying, and optimization.</li> <li> Creative and detail-oriented: You bring out-of-the-box thinking, meticulous attention to detail, and a sense of urgency to every project.</li> <li> Autonomous and accountable: You operate with a high degree of independence while taking full ownership of outcomes.</li> <li> Product and business sense: You’ve collaborated with product and data science teams to deliver analytics solutions, you can quickly understand product goals, prioritize tasks, and address business challenges through analytics engineering.</li> <li> Clear and influential communicator: You communicate clearly and know how to get buy-in for your team’s work, build relationships across teams, and break down silos.</li> <li> Strong statistical foundation: You have a strong understanding of statistics and probability, enabling you to interpret data effectively, validate assumptions, and support data-driven decision-making.</li> </ul> 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 + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $207,485—$244,100 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 Engineering Manager

<h1>Reporting - Senior Health Data Analyst 135-2031</h1> Tulsa, OK, USA Req #575 Monday, March 31, 2025 JOB SUMMARY: The Senior Health Data Analyst provides the analytical support for Executives and all departments including analysis, pricing, capitation, network, and provider specific reporting. Analytical support includes programming customer-based specifications, producing appropriate statistics, reports, and presentations, analyzing results and impacts, and generating written reports with recommendations and conclusions. The Senior Analyst works with data in company and other databases, data cleaning, descriptive statistical analysis, data modeling, developing and maintaining data documentation, and comparing results to industry standards. The Senior Analyst is also responsible for managing high complexity projects requiring team effort of several other analysts and involvement from other departments. In addition, responsibility of quality review and mentoring are expected. The quality review and mentoring process includes code and logic review, benchmarking, and direction and insight of the reporting processes, statistics of healthcare, and managing projects requiring limited level of independent decision making and coordinating resources. KEY RESPONSIBILITIES: <ul> <li>Manage projects, including create and lead a team of analysts, interact with other departments and outside parties. </li> <li>Concurrently conduct multiple major analytical projects without immediate supervision, including all aspects from programming to analyzing and abstracting information into written reports. </li> <li>Perform review and quality assurance of the projects assigned to other analysts.</li> <li>Develop reports and ad-hoc analysis based on specifications outlined by department management. Automate such reports and ensure that they are performed and delivered on schedule. </li> <li>Create presentations of data analysis including conclusions and recommendations and present findings to key stakeholders.</li> <li>Serve as a resource and mentor to other analysts and assist in training and development as needed.</li> <li>Perform other duties as assigned.</li> </ul> QUALIFICATIONS: <ul> <li>Ability see major analysis projects through to completion without immediate supervision.</li> <li>Ability to independently manage projects, including creating and leading a team of analysts, interaction with other departments and outside stakeholders.</li> <li>Ability to apply advanced actuarial, mathematical and statistical techniques and principles into the analysis of financial and health related data.</li> <li>Possess strong oral and written communication skills with the ability to communicate results in a consistent and professional manner.</li> <li>Proven ability to perform descriptive analytics.</li> <li>Demonstrated knowledge of programming, running and modifying pre-written and new code required.</li> <li>Demonstrated knowledge of healthcare data.</li> <li>Ability to converse and write fluently in English.</li> <li>Successful completion of Health Care Sanctions background check.</li> <li>Proficient in Microsoft Office applications.</li> </ul> EDUCATION/EXPERIENCE: <ul> <li>Bachelor’s degree required. Mathematics, Statistics, Economics, Actuarial Science or other quantitative discipline preferred. Master’s degree a plus.</li> <li>Demonstrated use of analytical software. SAS or SQL preferred.</li> <li>Experience in Power BI, Tableau or similar software preferred.</li> <li>5 plus years of Health Data or Data Analysis experience.</li> <li>Project management experience preferred. </li> </ul> CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin <h2 id="otherDetailsHeader">Other details</h2> <ul> <li> Job Family Commercial </li> <li> Pay Type Salary </li> </ul> <a href="#"> Apply Now </a>

CommunityCare

Reporting - Senior Health Data Analyst 135-2031

River Spirit Casino

AI Data Analyst - 1032

Tech Partners

Data Engineer

<h2>Posting Details</h2> Position Information Position Title Data Analyst Job Description Drawing on both analytical and technical competencies, the Data Analyst will oversee data integrity and conduct analyses to support institutional planning, evaluation, effectiveness, and reporting efforts. This position will extract, analyze, visualize, and describe a variety of institutional data used internally for strategic decision-making and externally for informational and official reporting to state and federal agencies and other external organizations. This individual will be a highly motivated self-starter who can pay attention to details and complete work in a timely manner. Essential Functions (Responsibilities): <ul> <li>Develops queries, reports, and reporting processes to improve the understanding of institutional data for decision and planning support</li> <li>Interprets data results using a variety of analytical techniques ranging from simple data aggregation to more complex data mining</li> <li>Develops and implements research projects, including selecting appropriate research designs, collecting and analyzing data, preparing narrative reports and presenting results to various stakeholders</li> <li>Performs and oversees a variety of external, internal and ad-hoc reports</li> <li>Creates and maintains a comprehensive data standards manual to improve data quality in Student Information System (Colleague)</li> <li>Collaborates with the Director to optimize process flows and research initiatives</li> <li>Stays current and willing to learn new technology systems and analytical skills</li> <li>Performs other related duties as needed/assigned</li> </ul> Required Qualifications Equivalent Education/Experience <ul> <li>Bachelor’s degree from an accredited institution in Statistics, Data Science, Education, Social Science or a related quantitative discipline</li> <li>Minimum one year of experience in quantitative, qualitative research, data collection, statistical analysis, reporting, and/or data analysis of large data sets</li> </ul> Knowledge/Skill/Ability <ul> <li>Strong analytical and quantitative skills</li> <li>Excellent verbal and written communication skills</li> <li>Experience using Microsoft Office software applications including, but not limited to, Word, Excel, and Access Proficiency with SQL </li> <li>Experience in manipulating and analyzing complex, high-volume, high-dimensionality data from various sources</li> <li>Familiarity with diverse data analytics tools and project management</li> <li>Experience using SQL, SPSS and R with a strong understanding of advanced analytical and reporting functions</li> <li>Experience using Tableau dashboard software</li> </ul> Special Job Dimensions: Work requires working with highly sensitive or confidential information. Preferred Qualifications Master’s degree from an accredited institution in Statistics, Data Science, Education, Social Science or a related quantitative discipline; minimum two years of experience in quantitative, qualitative research, data collection, statistical analysis, reporting, and/or data analysis of large data sets; experience in manipulating and analyzing complex, high-volume, high-dimensionality data from various sources; familiarity with diverse data analytics tools and project management; experience using SQL, SPSS and R with a strong understanding of advanced analytical and reporting functions; and experience using Tableau dashboard software. Physical Demands Minimal Physical Demands Please note, this position is an on-site position in Tulsa, OK. Posting Detail Information Posting Number S978P Open Date 03/04/2025 Close Date Open Until Filled Yes Special Instructions to Applicants Advertising Summary <h2>EEO Statement</h2> EEO Statement Eeo Statement Summary The University of Tulsa seeks to recruit and retain talented students, faculty and staff from diverse backgrounds. The University of Tulsa is an affirmative action/equal opportunity employer and encourages qualified candidates across all group demographics to apply. The University does not discriminate on the basis of personal status or group characteristic including, but not limited to race, color, religion, national or ethnic origin, age, sex, disability, veteran status, sexual orientation, gender identity or expression, genetic information, ancestry, or marital status. The University of Tulsa is an Equal Opportunity Employer including Disability/ Veteran. <h2>Supplemental Questions</h2> Required fields are indicated with an asterisk (*). <ol> <li> How did you hear about this employment opportunity? <ul> <li>Indeed</li> <li>Internal Job Posting</li> <li>Agency Referral</li> <li>LinkedIn</li> <li>Personal Referral</li> <li>Website</li> <li>Other</li> </ul> </li> </ol> <h2>Documents Needed To Apply</h2> Required Documents <ol> <li>Resume</li> <li>Cover Letter</li> <li>Unofficial Transcripts</li> </ol> Optional Documents

University of Tulsa

Data Analyst

<h2>This is Engineering at Lattice</h2> Lattice's Engineering team is continuously working to better both our product and our craft. We use a modern, cutting-edge tech stack aimed at developer productivity and delight. We strive for maintainable, robust, and performant code. We're highly collaborative and continuously iterative and work closely with designers and product managers. We prioritize not only great technical architecture but also an amazing product experience. <h2>What You Will Do</h2> You will join Lattice’s AI Engineering team, where you will lead and shape Lattice's artificial intelligence strategy while building software to help the humans powering organizations thrive, with a particular focus on large language models (LLMs) and emerging machine learning technologies. <ul> <li>You will design and build end-to-end architectures for AI/ML solutions, including data pipelines, model development, and production deployment.</li> <li>You will develop, fine-tune, and optimize LLM-based solutions for Lattice’s talent platform and product suite.</li> <li>You will drive architectural decisions, balancing trade-offs between scalability, latency, accuracy, and cost.</li> <li>You will implement AIOps practices, including CI/CD pipelines, feature flagging, model monitoring, and performance optimization.</li> <li>You will work at a strategic level to influence technical decisions by collaborating cross-functionally with product managers, data scientists, and engineers to deliver AI-driven features aligned with business goals.</li> <li>You will mentor and guide engineers of various experiences in AI engineering, establishing best practices for software and AI development, standardizing and evangelizing AI engineering in our team.</li> <li>You'll lead technical evaluation of AI/ML vendors and platforms, making strategic recommendations on build vs. buy decisions for our AI infrastructure, from LLM providers to security and monitoring solutions.</li> </ul> <h2>What You Will Bring to the Table</h2> <ul> <li>You have 8+ years of professional experience writing and maintaining production-level applications, with at least 4 years in designing and implementing scalable AI/ML systems in production.</li> <li>You have deep expertisein LLM concepts including prompt engineering, AI feature evaluation metrics, model fine-tuning, knowledge of vector DBs, etc. </li> <li>You have experience with advanced LLM techniques, at a minimum with Retrieval-Augmented Generation (RAG), and understanding or exposure to RLHF, or LoRA.</li> <li>You have experience or knowledge of ML traditional techniques (supervised / unsupervised systems or neural networks) and be able to pin point when a solution requires an LLM solution or an ML solution</li> <li>You have strong programming skills in Python, with hands-on experience in frameworks like PyTorch, TensorFlow, Hugging Face Transformers, or LangChain.</li> <li>You have expertise in MLOps: deployment (Docker, Kubernetes, Terraform and/or CDK), model monitoring (MLflow, DataDog, etc), and CI/CD workflows.</li> <li>You are proficient in the AWS ecosystem (Lambdas, SQS, SNS, etc) and data engineering tools for large-scale datasets.</li> <li>You have excellent problem-solving, system design, and technology decision-making skills.</li> <li>You have strong communication and collaboration skills to lead projects and mentor junior team members, and to also collaborate with product and executives.</li> </ul> <h2>Nice to Have</h2> <ul> <li>Familiarity with hybrid solutions combining traditional ML and LLMs. </li> <li>Experience with agentic AI or building multi agent systems</li> <li>Experience with cloud-based ML services (e.g., AWS SageMaker, Google Cloud AI, Azure Machine Learning)</li> <li>Experience with TypeScript / Javascript as it is our current programming language (Our current stack includes NodeJS, GraphQL, and PostgreSQL. We rely on AWS to host our infrastructure)</li> <li>Professional experience with multiple cloud platforms (AWS + others such as Azure or GCP) </li> <li>Track record of publishing or presenting on artificial intelligence and machine learning topics in professional forums</li> </ul> The estimated annual cash salary for this role is $187,500 - $234,500. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&amp;D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter &amp; Parking Accounts; Lunches in the Office; Workplace Amenities Stipend, Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning &amp; Development Budget; Sabbatical Program; and Invest in Your People Fund *Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. <h2>About Lattice</h2> Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with<a href="https://lattice.com/privacy/job-applicant-privacy-policy" target="_blank">Lattice's Job Applicant Privacy Policy</a>.

Lattice

Staff AI Engineer

<h2> Data Engineer II </h2> <a href="#"> apply now </a> <a href="#"> Back To Search Results </a> LOCATION: Tulsa, Oklahoma FLEXIBILITY: Hybrid/Onsite SALARY: $110,000 - $140,000 SALARY: $110,000 - $140,000 POSTED: March 27, 2025 JOB TYPE: Direct Hire JOB ID: 30793 <h4>I want more jobs Like this in My inbox.</h4> <a href="#"> Job alerts </a> <h4> Job details </h4> <h4><a href="https://jobs.inceed.com/job/30793" target="_blank">To Apply for this Job Click Here</a></h4> Compensation: $106,500 – $130,000 Location: Onsite – Tulsa, Oklahoma Position: Data Engineer Inceed has partnered with a great company to help find a skilled Data Engineer to join their team! This role will focus on delivering new data solutions through the Azure &amp; Databricks platform, working with a wealth of data in their data warehouse and modeled in Power BI. The Data Engineer will be a part of a team that continuously works to enhance performance and deliver new capabilities for the business users of data. Responsibilities: <ul> <li>Develop and implement data solutions through Azure &amp; Databricks platforms.</li> <li>Work with data models in Power BI and enhance data performance.</li> <li>Ensure the efficient transformation and delivery of data to business users.</li> <li>Collaborate with cross-functional teams to improve data accessibility and usability for decision-making.</li> </ul> <ul> <li>Possesses and apply working knowledge of multiple languages and tools utilized by the development process. Tools and languages: ETL, T-SQL, Data Profiling and MDM tools, BI Modeling Tools (e.g. SSAS, Power BI).</li> </ul> Required Qualifications &amp; Experience: <ul> <li>At least 3 years of experience working in data engineering.</li> <li>Proficiency with Databricks &amp; Databricks SQL.</li> <li>Experience with Python and PySpark libraries for data processing.</li> <li>Strong skills in T-SQL and using Azure Data Factory for data integration.</li> <li>Experience with SSIS, Azure DevOps Pipelines, and Repositories.</li> </ul> Nice to Have Skills &amp; Experience: <ul> <li>Familiarity with Azure Synapse and/or Power BI modeling.</li> <li>Strong problem-solving skills and a collaborative mindset to work with business teams.</li> </ul> Perks &amp; Benefits: <ul> <li>Comprehensive benefits package available.</li> </ul> Other Information: <ul> <li>This role is part of a team that is continuously enhancing data solutions and delivering new capabilities on the Azure &amp; Databricks platforms.</li> <li>The position requires onsite work at the company’s location in Tulsa, Oklahoma.</li> </ul> If you are interested in learning more about the Data Engineer opportunity, please submit your resume for consideration. Our client is unable to provide sponsorship at this time. We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple: We’re here to help every person, whether client, candidate, or employee, find and secure what’s better for them. Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. #LI-BO1 <h4><a href="https://jobs.inceed.com/job/30793" target="_blank">To Apply for this Job Click Here</a></h4> <h4>I want more jobs Like this in My inbox.</h4> <a href="#"> Job alerts </a> <h5> Share This Job </h5> <a href="https://www.facebook.com/sharer.php?u=https://jobs.inceed.com/job/30793-data-engineer-ii-tulsa-oklahoma/" target="_blank"> </a> <a href="https://twitter.com/intent/tweet?url=https://jobs.inceed.com/job/30793-data-engineer-ii-tulsa-oklahoma/" target="_blank"> </a> <a href="https://www.linkedin.com/shareArticle?mini=true&amp;url=https://jobs.inceed.com/job/30793-data-engineer-ii-tulsa-oklahoma/" target="_blank"> </a> Copied <a href="#"> </a> <h5> Share This Job </h5> <a href="https://www.facebook.com/sharer.php?u=https://jobs.inceed.com/job/30793-data-engineer-ii-tulsa-oklahoma/" target="_blank"> </a> <a href="https://twitter.com/intent/tweet?url=https://jobs.inceed.com/job/30793-data-engineer-ii-tulsa-oklahoma/" target="_blank"> </a> <a href="https://www.linkedin.com/shareArticle?mini=true&amp;url=https://jobs.inceed.com/job/30793-data-engineer-ii-tulsa-oklahoma/" target="_blank"> </a> Copied <a href="#"> </a> <h4> Apply Now </h4> "*" indicates required fields <h2> About Us </h2> Inceed is a staffing and recruiting team full of people-loving people. Specializing in the IT and Finance &amp; Accounting fields, we thrill at the opportunity to help you discover the next step in your career or, as we call it, your “something better”. And with the broad reach of our multiple branches, we’re able to do so nationwide. It feels weird tooting our own horn, but we are super proud to be: (same list awards and recognitions) Once we synch up with you to discuss a job posting, we value connection above all else. After all, how can we know if it’s a culture fit, a lifestyle fit, a passion fit, if we don’t truly know the person behind the resume?

Inceed

Data Engineer II

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 seeking a highly skilled and motivated AI Project Manager to join our team. This role is pivotal in managing the delivery of AI projects, working closely with matrixed business SMEs and technical teams. The ideal candidate will have a strong background in project management, AI, data management, and business testing, with the ability to oversee project timelines, budgets, and deliverables effectively. Additionally, this role will be key in helping business partners identify the art of the possible when it comes to AI.Key Responsibilities include:Manage the Delivery of AI Projects:<ul> <li>Collaborate with matrixed business SMEs and technical teams to ensure successful delivery of AI projects</li> <li>Define project scope, objectives, and deliverables in alignment with business goals</li> <li>Develop detailed project plans, including timelines, budgets, and resource allocation</li> <li>Identify and manage project risks, issues, and dependencies</li> <li>Oversee business testing to ensure the effectiveness and accuracy of AI solutions</li> <li>Act as a liaison with the DDAT team to ensure alignment and integration</li> <li>Monitor and evaluate the effectiveness of data management strategies and make necessary adjustments</li> </ul>Identify the Art of the Possible:<ul> <li>Work closely with business partners to explore and identify innovative AI opportunities</li> <li>Provide insights and recommendations on how AI can be leveraged to achieve business objectives</li> <li>Facilitate workshops and brainstorming sessions to generate AI use case ideas</li> <li>Stay updated on the latest AI trends and technologies to inform business partners of new possibilities</li> </ul> Required Qualifications<ul> <li>7+ years of experience in project management, data management, and business testing</li> <li>Understanding of AI persona development and implementation</li> <li>Solid understanding of AI technologies and their applications in business</li> <li>Excellent project management skills with the ability to manage multiple priorities</li> <li>Strong analytical and problem-solving skills</li> <li>Excellent communication and collaboration skills</li> <li>Ability to work effectively in a matrixed environment</li> <li>Experience with project management tools and methodologies</li> </ul> Preferred Qualifications<ul> <li>Experience with data management tools and technologies</li> <li>Knowledge of change management principles and practices</li> <li>Familiarity with DDAT frameworks and methodologies</li> </ul> Education<ul><li>Bachelor’s degree in Computer Science, Data Science, Business Administration, or a related field</li></ul>Pay RangeThe typical pay range for this role is:$67,900.00 - $182,549.00 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: 05/10/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

CVSHealth

Senior Manager,  AI Project Management

<h2 id="who-we-are">Who we are</h2> <h3 id="about-stripe">About Stripe</h3> Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. <h3 id="about-the-team">About the team</h3> The Payment Intelligence organization optimizes each of the billions of dollars of transactions processed by Stripe annually on behalf of our users, maximizing successful transactions while minimizing payment costs and fraud. We own products like Radar end-to-end, developing machine learning models, building fast and scalable services and creating intuitive user experiences. We serve real-time predictions as part of Stripe’s payment infrastructure and architect controls that leverage ML to optimally manage users’ business. <h2 id="what-youll-do">What you’ll do</h2> We are looking for an engineering manager to lead and grow a strong team of machine learning engineers that design, build, deploy, and operate ML-powered services that scale globally with Stripe. You will partner with many functions, especially data science (DS), as you lead Stripe's most critical payment decisioning infrastructure. <h3 id="responsibilities">Responsibilities</h3> <ul> <li>Set the vision, goals, &amp; strategy for the team based on company objectives </li> <li>Lead by example in high-growth, high-impact, ambiguous environments </li> <li>Build machine learning systems and pipelines for training, shipping, and operating machine learning models </li> <li>Improve existing machine learning models via developing new ML features, which has been the primary path for improving performance </li> <li>Collaborate and execute projects cross-functionally with the data science, product, infrastructure, and risk teams </li> <li>Ensure engineering outcomes meet or exceed established standards of excellence in code quality, system design, and scalability </li> <li>Recruit, hire, scale, and develop an amazing team of engineers </li> <li>Accelerate the delivery of models to production by leading continuous engineering improvements and investments in our MLOps infrastructure </li> <li>Propose and implement innovative product ideas to reduce costs and combat fraud at Stripe </li> </ul> <h2 id="who-you-are">Who you are</h2> We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. <h3 id="minimum-requirements">Minimum requirements</h3> <ul> <li>3+ years of direct engineering management experience </li> <li>2+ year of experience working within a team responsible for developing, managing, and improving ML models or ML infrastructure </li> </ul> <h3 id="preferred-qualifications">Preferred qualifications</h3> <ul> <li>Proven track record of building and deploying machine learning models or systems that have effectively solved critical business problems </li> <li>Experience managing teams that leverage real-time, distributed data processing </li> <li>Experience managing teams that leverage batch processing pipelines </li> <li>Experience building sustainable operations for managing many ML models, including CI/CD, auto-training, auto-deployment, and continuous model refreshes </li> <li>Experience managing teams that owned many diverse ML models </li> <li>Experience in adversarial domains like Fraud, Trust, or Safety </li> <li>Past experience operating under team goal-setting frameworks such as OKRs </li> </ul> This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. The annual US base salary range for this role is $224,300 - $336,500. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Office locations Seattle, New York, or South San Francisco HQ Remote locations Remote in United States Team New Financial Products Job type Full time <a href="#">Apply for this role </a>

Stripe

ML Engineering Manager, Payment Intelligence

<h2>This is Data Science at Lattice</h2> As a Senior Data Scientist on our Data Science team, you will be responsible for working on a wide range of data-related projects, from metric design and reporting, to analyses that drive business decisions across our company. You will have the opportunity to partner with stakeholders across our Customer Experience and Operations teams, using data from across the entire Lattice spectrum to produce insights and recommendations that will influence our customer strategy. <h2>What You Will Do</h2> <ul> <li>You will own product-adoption-related metrics and business intelligence output for the CX organization</li> <li>You will assist the CX organization with complex requests from customers as they seek to better understand their end-users’ interactions with the Lattice platform</li> <li>You will collaborate with stakeholders across the business to create repeatable, standardized analytics that drive strategy and decision making processes</li> <li>You will increase stakeholder use of data and data fluency through partnership and upskilling </li> <li>You will model first- and third-party data into analytics-ready tables that can be used across the business</li> <li>You will dive deep into the CX org, becoming an expert on the problems they encounter and creating scalable solutions in response </li> <li>You will own and collaborate on your own quarterly roadmap</li> </ul> <h2>What You Will Bring to the Table</h2> <ul> <li>You have 3+ years of experience working in Data Science or Analytics, partnered with CX or Operations teams</li> <li>You have experience at a B2B SaaS company</li> <li>You have the ability to distill ambiguous, open-ended questions into workable problems </li> <li>You have a track record of collaboration with stakeholders </li> <li>You have expertise in facets of data science including but not limited to metric design, artificial intelligence, experimentation, and data analysis </li> <li>You have a history of successfully completing projects on time and within scope </li> <li>You have proven results designing metrics for team impact</li> <li>You are a self-starter who is excited by learning new technologies, getting your hands dirty, and creating scalable solutions </li> <li>You have a deep knowledge of SQL</li> <li>You have knowledge of Python</li> <li>You have experience with a BI tool such as Looker</li> </ul> The estimated annual cash salary for this role is $148,000 - $185,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&amp;D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter &amp; Parking Accounts; Lunches in the Office; Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning &amp; Development Budget; Sabbatical Program; and Invest in Your People Fund *Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. <h2>About Lattice</h2> Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with<a href="https://lattice.com/privacy/job-applicant-privacy-policy" target="_blank">Lattice's Job Applicant Privacy Policy</a>.

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