data science lead

Starbucks

<div><p><b>Now Brewing &ndash; Lead Data Scientist! #tobeapartner</b><br>
<br>
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.</p><p>
As a Lead Data Scientist on the Pricing Data Science team, you will lead the development of advanced pricing models and optimization algorithms that shape pricing decisions across US and Canada company-owned stores. You will drive the evolution of the pricing system by applying rigorous analytics, partnering with cross-functional teams, and influencing strategic workforce planning. Your work will directly impact pricing, and customer experience at scale.</p><p><i>
As a lead data scientist, you will&hellip;</i></p><p><b><br>
Design and Architect the Future Pricing Ecosystem</b></p><ul><li>
Build a scalable, data-driven pricing framework that optimizes revenue.</li><li><p>
Incorporate predictive modeling, and ad hoc analyses into pricing framework.</p><p><b><br>
Drive Pricing and Revenue management data science</b></p></li><li>
Identify pricing and promotion potential through advanced analytics.</li><li>
Implement optimization strategies leveraging machine learning, simulation, and scenario planning.</li><li><p>
Partner with strategy and finance to align pricing tools with business goals.</p><p></p><p><b><br>
Mentor and Develop Talent</b></p></li><li>
Guide data scientists and senior data scientists in advanced analytics, optimization techniques, and business impact storytelling.</li><li>
Foster a culture of innovation and continuous improvement within the analytics team.</li></ul><br>
<p></p>
<p><i>
We&rsquo;d love to hear from people with:</i></p><ul><li>
5+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.</li><li>
Strong foundation in machine learning and statistical techniques, including regression, classification, clustering, and causal inference.</li><li>
Advanced proficiency in Python, SQL, and cloud-based analytics platforms (e.g., Databricks, Azure), with experience developing production-grade data pipelines and model outputs.</li><li>
Excellent communication and data storytelling skills, with the ability to translate complex methodologies into clear, actionable insights through compelling visualizations and dashboards using tools like Tableau.</li><li>
Experience building in-house production systems in complex and data-rich domains.</li><li><p>
Mentoring experience</p></li></ul><p></p><p><i><br>
Preferred Skills:</i></p><ul><li>
Expertise in building Bayesian elasticity models and causal inference</li><li>
Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support</li><li>
Background with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments</li></ul><p></p><div><br>
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.<br>
<ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul></div><p>
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.</p><p>
We believe we do our best work when we're together, which is why we're onsite four days a week.<br>
Join us and inspire with every cup. Apply today!<br>
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.<br>
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.<br>
<br>
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.</p></div>

lead data scientist- Pricing, Data & Analytics (Seattle, WA)

The Home Depot

<p>Position Purpose:<br/></p><p>The Sr. Data Scientist is responsible for leading data science initiatives within the Pro Intelligence and Acquisition &amp; Integration space that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.<br/>As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Sr. Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.<br/></p><p>Key Responsibilities:<br/></p><p>35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation<br/>30% Project Management &amp; Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team<br/>20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage<br/>15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented<br/></p><p>Direct Manager/Direct Reports:<br/></p><p>This position reports to manager or above<br/>This position has 0 Direct Reports<br/></p><p>Travel Requirements:<br/></p><p>Typically requires overnight travel less than 10% of the time.<br/></p><p>Physical Requirements:<br/></p><p>Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.<br/></p><p>Working Conditions:<br/></p><p>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/></p><p>Must be eighteen years of age or older.<br/>Must be legally permitted to work in the United States.<br/></p><p>Preferred Qualifications:<br/></p><p>PhD in a quantitative field (Computer Science, Math, Statistics, etc.)<br/>6+ years of experience in business intelligence and analytics<br/>Working knowledge of Microsoft Excel and Power Point<br/>Proficient in a modern scripting language (preferably Python)<br/>Proficient running queries against data (preferably with Google BigQuery or SQL)<br/>Proficient with data visualization software (preferably Tableau)<br/>Mastery utilizing statistical techniques to identify key insights that help solve business problems<br/>Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP<br/>Demonstrated proficiency in predictive modeling, data mining and data analysis<br/></p><p>Minimum Education:<br/></p><p>The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.<br/></p><p>Preferred Education:<br/></p><p>No additional education<br/></p><p>Minimum Years of Work Experience:<br/></p><p>5<br/></p><p>Preferred Years of Work Experience:<br/></p><p>No additional years of experience<br/></p><p>Minimum Leadership Experience:<br/></p><p>None<br/></p><p>Preferred Leadership Experience:<br/></p><p>None<br/></p><p>Certifications:<br/></p><p>None<br/></p><p>Competencies:<br/></p><p>Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs<br/>Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals<br/>Collaborates: Building partnerships and working collaboratively with others to meet shared objectives<br/>Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences<br/>Cultivates Innovation: Creating new and better ways for the organization to be successful<br/>Customer Focus: Building strong customer relationships and delivering customer-centric solutions<br/>Develops Talent: Developing people to meet both their career goals and the organization's goals<br/>Directs Work: Provides direction, delegating and removing obstacles to get work done<br/>Drives Results: Consistently achieving results, even under tough circumstances<br/>Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder<br/>Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement<br/>Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels<br/></p>

Senior Data Scientist - Decision Analytics, Pro

Wells Fargo

<div><h2 class="jobSectionHeader"><b>About this role:
</b></h2><h2 class="jobSectionHeader"><b>Wells Fargo is seeking a talented Lead Data Science Consultant to join our growing Marketing Analytics team as part of Consumer Banking and Lending (CBL).</b></h2><h2 class="jobSectionHeader"><b>
In this role you will partner with stakeholders and play a pivotal role for various marketing campaigns aimed at assessing key marketing levers for future optimization and developing solid actionable inflight reporting for continuous refinement of our marketing campaigns. Additionally, you will be responsible for implementing marketing strategies that drive growth and engagement, while continuously improving campaign performance and efficiency.</b></h2><h2 class="jobSectionHeader"><b>
In this role, you will:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Measure and quantify the success of CSBB Marketing campaigns while inflight and via post campaign deep dives</b></h2></li><li><h2 class="jobSectionHeader"><b>
Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels</b></h2></li><li><h2 class="jobSectionHeader"><b>
Lead complex initiatives and deliverables by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact</b></h2></li><li><h2 class="jobSectionHeader"><b>
Review and analyze complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations</b></h2></li><li><h2 class="jobSectionHeader"><b>
Independently analyze and resolve complex issues and lead team to meet deliverables while leveraging solid understanding of analytic capabilities</b></h2></li><li><h2 class="jobSectionHeader"><b>
Execute analytical experiments and create innovative statistical technics to discover solutions for abstract business problems across various domains</b></h2></li><li><h2 class="jobSectionHeader"><b>
Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements</b></h2></li><li><h2 class="jobSectionHeader"><b>
Interpret and analyze data, using advanced analytics methods and programming, to recommend ways to solve problems and influence business decisions and strategies</b></h2></li><li><h2 class="jobSectionHeader"><b>
Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams, or serve as a mentor for lower-level staff</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Required Qualifications:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</b></h2></li><li><h2 class="jobSectionHeader"><b>
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Desired Qualifications:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
2+ years of previous marketing campaign analytics experience</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong analytical skills, with experience using data and insights to inform marketing decisions</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proficiency in SQL, Python / R, and other programming languages</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proficiency in Data visualization preferably with Tableau</b></h2></li><li><h2 class="jobSectionHeader"><b>
Experience with large production data sets</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong project management skills, with the ability to manage multiple projects simultaneously and meet tight deadlines</b></h2></li><li><h2 class="jobSectionHeader"><b>
Expertise in statistical testing</b></h2></li><li><h2 class="jobSectionHeader"><b>
Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams</b></h2></li><li><h2 class="jobSectionHeader"><b>
Experience with technical systems and business processes extracting data driven insights while identifying opportunities for engineering enhancements</b></h2></li><li><h2 class="jobSectionHeader"><b>
Hands-on experience of Extract, Transform and Load (ETL) and data warehousing for purposes of integrating different data sources</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Job Expectations:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Hybrid work schedule. Must be able to work from one of the approved jobs posting locations three (3) days in office &amp; two (2) days remote.</b></h2></li><li><h2 class="jobSectionHeader"><b>
This position is not eligible for Visa sponsorship.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Relocation assistance is not available for this position.</b></h2></li></ul><p></p><p><b>
Posting End Date:</b></p><p></p>
31 Jul 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p>
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Lead Campaign Analytics & Data Science Consultant

The Hartford

<div><h2 class="jobSectionHeader"><b>Job Details</b></h2>
<div><div><div>Location:</div>
<div>Columbus, OH</div>
</div><div><div>Category:</div><div>
Data &amp; Analytics</div>
</div><div><div>Employment Type:</div>
<div>Full time, Remote
</div></div><div><div>Job Ref:</div><div>
R2624862-174</div>
</div></div><p></p><div><div>AVP Data Science - GD05AE<p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><h2 class="jobSectionHeader"><b>The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford&rsquo;s Business Insurance. This role partners closely with underwriting, product, actuarial, and technology leaders to deliver scalable, production ready models and ‑AI driven‑ decision systems that support complex risks, bespoke products, and profitable growth across specialty markets.</b></h2><h2 class="jobSectionHeader"><b>
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Must be eligible to work in the US without company sponsorship.</b></h2><h2 class="jobSectionHeader"><b>
Primary Job Responsibilities</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Own delivery, performance, and risk outcomes for one or more large, complex Applied AI portfolios spanning multiple teams, domains, or lines of business. Translate enterprise and business‑unit AI priorities into multi‑year portfolio roadmaps and investment plans.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Ensure applied AI solutions deliver measurable business value while meeting standards for security, reliability, explainability, fairness, safety, and cost efficiency across solution types including generative and agentic AI, retrieval‑augmented systems, forecasting, recommendation systems, anomaly or fraud detection, and multimodal use cases.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Lead and develop Sr. Directors and Directors. Build leadership bench strength through succession planning, coaching, and capability development. Ensure consistent application of the Applied AI operating model, decision rights, delivery discipline, and escalation paths across the portfolio. Reinforce shared expectations for quality, evaluation rigor, and production readiness.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Provide portfolio‑level technical direction and rigorous oversight, partnering closely with Principal ICs, Architecture, AI Platform, and Centers of Excellence. Ensure consistent adoption of approved AI standards, patterns, and guardrails.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Review and thoughtfully evaluate portfolio‑level architectural choices, evaluation approaches, production readiness, and operational risk signals, guiding leaders through disciplined trade‑offs across quality, grounding, latency, cost, scalability, and regulatory risk.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Accountable for consistent application of evaluation and monitoring practices across the portfolio. Ensure evaluation frameworks span classification, information retrieval, RAG/chat, forecasting, and customer or operational KPIs. Oversee governance of metric taxonomies, thresholds, validation evidence, gold and synthetic test sets, A/B testing practices, drift detection, failure‑mode analysis, and incident response expectations. Ensure evaluation results inform prioritization, release decisions, and risk management at the executive level.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Set portfolio‑level expectations and governance for unstructured data and retrieval practices, including document ingestion pipelines, parsing, OCR, layout‑aware extraction, metadata and lineage management, access controls, PII detection and redaction, and auditability. Ensure retrieval strategy decisions, including embedding approaches, hybrid and dense retrieval patterns, reranking, grounding validation, and multilingual considerations, align with enterprise standards and regulatory requirements.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners. Maintain readiness for audits and regulatory review by ensuring governance artifacts, controls, escalation paths, and operational evidence are consistently established and enforced. Escalate material risks, trade‑offs, and investment decisions to VPs with clear options and implications.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Partner with senior leaders across Product, Technology, Operations, Claims, Underwriting, Finance, and HR to align Applied AI delivery with business outcomes. Influence portfolio funding, prioritization, and workforce planning through evidence‑based assessments of delivery performance, evaluation outcomes, and risk considerations.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Oversee portfolio‑level planning, dependencies, resourcing, and financial stewardship. Adjust plans to address shifting priorities, capacity constraints, emerging technical risks, or regulatory changes. Drive continuous improvement in delivery effectiveness, operational resilience, governance maturity, and value realization across the Applied AI portfolio.</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Skills</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Demonstrated experience leading large, complex Applied AI portfolios in regulated enterprise environments.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proven ability to lead Sr. Directors and Directors, building durable leadership capacity and consistent operating discipline across organizations.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong technical and regulatory fluency across applied AI, including generative and agentic AI, retrieval‑augmented systems, evaluation and monitoring practices, and production AI operations, sufficient to review, inform, and govern senior‑level decisions.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Applied understanding of unstructured data and retrieval approaches, including document ingestion pipelines, OCR, layout‑aware extraction, embeddings, hybrid and dense retrieval, reranking, metadata and lineage management, and PII controls.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Deep familiarity with AI governance, model risk management, responsible AI practices, and compliance‑by‑design expectations.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Demonstrated success translating strategy into coordinated execution and investment decisions across multiple teams over multi‑year horizons.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Ability to influence VPs and senior partners through clear, data‑driven communication of technical trade‑offs, evaluation outcomes, portfolio risks, and business impact.</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Education, Experience, Certifications and Licenses</b></h2><ul><li><h2 class="jobSectionHeader"><b>
12+ years of applicable experience with a Bachelor&rsquo;s degree; fewer years may be accepted with a higher degree. Master&rsquo;s or Ph.D. preferred in Machine Learning, Applied Mathematics, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation.</b></h2></li><li><h2 class="jobSectionHeader"><b>
7&ndash;10+ years leading leaders, large portfolios, or complex programs.</b></h2></li></ul><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p>
$182,400 - $273,600<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div></div></div><p></p>

AVP Applied AI

FloatMe

<div><p>FloatMe is hiring a Senior/Staff Data Scientist to turn product, customer, and risk data into the insights and decision frameworks that shape how we grow. You'll own end-to-end execution &mdash; analysis, experimentation, forecasting, visualization &mdash; and partner closely with our ML Engineers to evaluate model performance and connect risk decisions directly to business impact. If you love turning ambiguous, high-stakes questions into sharp, decision-ready answers and want to set the technical bar for a fast-moving fintech team, this is the seat for you.</p><p><b>
What You&rsquo;ll Do</b></p><ul><li><p>
You will turn complex product, customer, and risk data into clear insights, decision frameworks, and durable measurement systems for product, risk, and business partners</p></li><li><p>
Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support</p></li><li><p>
Define and maintain measurement frameworks for FloatMe products, including customer eligibility, repayment behavior, product usage, loss performance, funnel health, subscription, and long-term customer outcomes</p></li><li><p>
Partner with Machine Learning Engineers (MLEs) to evaluate model and policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to product and business impact</p></li><li><p>
Design and analyze experiments, rollouts, and policy changes that shape customer access, repayment outcomes, and product growth</p></li><li><p>
Approach ambiguous product and risk questions from first principles, using statistical judgment to define the right cohorts, metrics, and decision criteria</p></li><li><p>
Communicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision-makers</p></li><li><p>
Lead technical direction and standards - making and building consensus on key technical decisions, and creating reusable frameworks, measurement templates, and scalable tooling that remove complexity for others</p></li><li><p>
Drive localized cross-team impact by partnering with senior stakeholders in product, engineering, and risk to align Data Science work with broader strategy</p></li></ul><p><b>
Who You Are</b></p><ul><li><p>
4+ years applying AI, machine learning, or statistical modeling in decisioning contexts such as credit, risk, fraud, recommendations, or similar domains.</p></li><li><p>
A Master degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Operation Research). A PhD degree is welcomed.</p></li><li><p>
Advanced proficiency with SQL, Python and experience building clear, decision-oriented data visualizations</p></li><li><p>
Strong product, analytical, and statistical judgment, including the ability to turn ambiguous product, customer, or risk questions into sound analyses, communicate tradeoffs clearly, and support decisions</p></li><li><p>
Experience using AI tools to improve the speed, quality, and durability of analytical work</p></li></ul><p><b>
Bonus Points
</b></p><ul><li><p>Fintech background</p></li><li><p>
Consumer finance experience (non-large bank environment)</p></li><li><p>
Advanced modeling techniques</p></li><li><p>
Background in small to medium sized companies</p></li></ul><p><i>
FloatMe is proud to be an equal opportunity employer. FloatMe provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws, and prohibits discrimination and harassment of any type.</i></p><p>
Compensation Range: $150K - $220K</p></div>

Senior/Staff Data Scientist

Walmart

<div><h2 class="jobSectionHeader"><b>Position Summary...</b></h2><p></p><h2 class="jobSectionHeader"><b>
What you'll do...</b></h2><b>
Role summary:</b>
<br>
As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that enhance business outcomes. This role requires proficiency in data sourcing, model development, validation, and scalable deployment, alongside strong coding and visualization skills. You will collaborate with cross-functional teams to translate complex business challenges into actionable insights, guiding decision-making through robust data strategies. Your expertise will support continuous improvement and innovation, ensuring data assets deliver measurable value aligned with Walmart&rsquo;s strategic objectives.
<br>
<b>About the team:</b>
<br>
The team leads Walmart Search&rsquo;s data science and measurement strategy, collaborating with senior leaders to drive business growth. They develop analytical roadmaps focused on ranking, relevance, and monetization while building an advanced self-serve analytics platform to accelerate insights. The team designs and executes large-scale experimentation programs, including A/B testing across search ranking, user interface, and monetization features. By applying advanced analytics and machine learning, they prioritize innovation and impact to enhance customer experience and business outcomes. Strong leadership, project management, and collaboration skills are essential to their success.
<br>
<b>What you'll do:</b>
<br>
<ul><li>Identify and source relevant data from multiple business domains and databases to support analytical initiatives.</li><li>
Perform data quality assessments and ensure data integrity for accurate model development.</li><li>
Develop, test, and deploy advanced analytical models using programming languages such as Python and SQL.</li><li>
Evaluate model performance through rigorous validation techniques and optimize for scalability and sustainability.</li><li>
Create clear and insightful data visualizations to communicate findings effectively to stakeholders.</li><li>
Translate complex business problems into data-driven solutions aligned with strategic objectives.</li><li>
Mentor junior team members on analytical methods and best practices.</li></ul>
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<b>What you'll bring:</b>
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<ul><li>Extensive experience in data science and advanced analytical modeling techniques, including machine learning and statistical methods.</li><li>
Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau to communicate complex insights effectively.</li><li>
Strong knowledge of data source identification, data quality assessment, and data governance principles within distributed data environments.</li><li>
Ability to develop, test, validate, and deploy scalable analytical models aligned with business objectives.</li><li>
Demonstrated expertise in translating business requirements into data-driven solutions and providing actionable recommendations.</li><li>
Experience mentoring junior associates and collaborating cross-functionally to drive data-enabled decision-making.</li></ul>
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
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For information about benefits and eligibility, see One.Walmart.
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The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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<ul><li>Stock</li></ul><p>
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&lrm;</p><h2 class="jobSectionHeader"><b>
Minimum Qualifications...</b></h2><p><i>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
</i></p><p></p>Option 1- Bachelor&rsquo;s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3<br>
years' experience in an analytics related field. Option 2- Master&rsquo;s degree in Statistics, Economics, Analytics, Mathematics, Computer Science,<br>
Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or<br>
related field.<p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications...</b></h2><p><i>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.</i></p><p></p>
Data science, machine learning, optimization models, Master&rsquo;s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<p></p><h2 class="jobSectionHeader"><b>
Primary Location...</b></h2><p></p>
809 11th Ave, Sunnyvale, CA 94089-4731, United States of America<p></p>
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

(USA) Senior, Data Scientist

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<div><p><b>What Impact You'll Have
</b></p><p>We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts across the Intelligence Community. This role leverages advanced analytics, automation, data modeling, visualization, and software development to solve complex intelligence and operational challenges. The ideal candidate is an experienced technical leader who can transform large, complex datasets into actionable intelligence, modernize analytic workflows, and develop scalable solutions that directly support enterprise decision-making and mission success.
</p>
<p><b>What You'll Be Doing
</b></p><p>As a Senior Data Scientist, you will develop advanced analytic solutions that transform complex intelligence data into meaningful insights for mission stakeholders. You will design and implement scalable data pipelines, automation strategies, and analytic processes that enable analysts to identify patterns, trends, and operational opportunities across large, diverse datasets. Working directly with intelligence professionals, you will apply data science techniques to solve challenging mission problems while improving the efficiency, repeatability, and rigor of analytic workflows.
</p>
<p>You will leverage senior-level Python programming skills to build production-ready tools, automate manual processes, and develop reusable analytic capabilities. Your work will include designing compelling visualizations and dashboards that communicate complex findings in a clear, actionable manner, enabling mission partners to integrate data-driven insights into daily operations and strategic planning. As new requirements emerge, you will rapidly prototype and deploy solutions that support evolving customer needs.
</p>
<p>Operating in a fast-paced, mission-focused environment, you will independently manage multiple concurrent projects while collaborating with multidisciplinary teams across the Intelligence Community. You will provide technical leadership in the application of modern data science practices, ensuring solutions are scalable, maintainable, and aligned with enterprise modernization initiatives. Through innovation and continuous improvement, you will help advance intelligence capabilities by transforming data into operational advantage.
</p>
<p><b>What You Must Have
</b></p><ul><li>Active TS/SCI clearance (ability to obtain a CI Poly preferred).
</li><li>Demonstrated experience supporting intelligence missions through data science, advanced analytics, or intelligence analysis.
</li><li>Ability to operate independently at a senior level with minimal oversight.
</li><li>Senior-level proficiency in Python and experience developing production-quality analytic applications and automation solutions.
</li><li>Demonstrated proficiency designing and implementing scalable processes for large, complex datasets to identify trends, patterns, and analytical discoveries.
</li><li>Experience developing data models, automation workflows, and repeatable analytic processes.
</li><li>Experience creating visualizations, dashboards, and data products that effectively communicate complex analytical findings and support operational decision-making.
</li><li>Experience managing multiple projects and technical initiatives simultaneously in a high-tempo operational environment.
</li><li>Strong understanding of data analysis, statistical methods, and data-driven problem solving.
</li><li>Excellent written and verbal communication skills with the ability to present technical concepts to diverse audiences.
</li><li>Familiarity with common Intelligence Community (IC) data repositories.
</li><li>Demonstrated ability to collaborate effectively with analysts, engineers, and mission stakeholders to deliver innovative solutions.
</li><li>Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis.
</li></ul><p><b>What Would Be Nice to Have
</b></p><ul><li>Experience with additional programming languages or low-code/no-code platforms such as JEMA, Brewlytics, or ArcGIS ModelBuilder.
</li><li>Experience developing enterprise-level dashboards and data visualization solutions using modern business intelligence tools.
</li><li>Experience applying machine learning or artificial intelligence techniques to intelligence problems.
</li><li>Experience working with cloud-based data platforms and distributed computing environments.
</li><li>Experience mentoring junior data scientists or leading technical modernization initiatives.
</li><li>Knowledge of DevSecOps principles and modern software development practices.</li></ul></div>

Senior Data Scientist

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