Responsibilities
· Lead research initiatives on advertiser and user behavior by designing and scaling causal inference frameworks (e.g., A/B testing, geo tests, synthetic controls, uplift modeling) to measure the impact and incrementality of ad products across multiple channels (display, search, CTV, and programmatic)
· Develop advanced modeling solutions – including econometric models, predictive ML (propensity, LTV, bidding) – to optimize campaign performance and marketplace efficiency.
· Influence product and business strategy by partnering with Product, Engineering, Product Marketing, and Sales to translate research insights into product improvements and marketplace innovations.
· Mentor data scientists and cross-functional partners by establishing best practices for experimentation, statistical modeling, and machine learning, ensuring scalable, scientifically rigorous approaches to Ads measurement and optimization.
· Serve as a measurement thought leader, advancing methodologies in media mix modeling, attribution, and lift studies for online and offline channels, while staying ahead of industry and ad tech trends.
· Design experiments for complex Search and Display marketing scenarios, building robust inference models and validating causal effects.
· Mentor and upskill data scientists and partners by establishing best practices for experimentation, statistical modeling, and scalable ML solutions.
· Perform hands-on analysis and modeling using SQL and Python, and present insights with clear, compelling narratives that connect technical results to business outcomes.
· Optimize media effectiveness by enhancing models to quantify marketing impact and guide budget allocation decisions.
· Collaborate cross-functionally to integrate research-driven solutions into scalable, production-ready data science systems.
Minimum Qualifications
· 7+ years of relevant industry experience in positions with a focus on data science, machine learning, measurement, marketing strategy & analytics.
· Experienced in building causal inference models and developing test designs for complex test scenarios.
· Proficient coding skills (Python/SQL), data visualization and database knowledge.
· Extensive experience with predictive and machine learning modeling algorithms.
· Strong communication skills to tell-a-story that provides insight into the business.
· Strong project management skills, including managing technical resources and multiple priorities & milestones.
· Proven experience and a passion for working in a fast-paced agile environment.
· A collaborative mindset and sense of curiosity.
· Master's degree in Statistics, Economics, Data Science, Operations Research, or related field.
Preferred Qualifications
· PhD degree in Statistics, Computer Science, Mathematics, Economics, Operations Research, or related field.
· Experience with complete online and in-store media tactics portfolio.
· Experience with advertising technology platforms eCommerce, Ad servers, DSPs, DMPs, etc.
Walmart Connect is building a robust in-house advertising business that’s key to Walmart’s growth strategy. Walmart isn’t simply the world’s most successful retailer — we’re the world’s largest company. This is a unique opportunity to be part of a high-visibility team backed by the most talented retail colleagues in the world and over six decades of success. Join us.
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 .
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.
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.
For information about benefits and eligibility, see One.Walmart .
Hoboken, New Jersey US-10279:The annual salary range for this position is $132,000.00-$264,000.00
San Bruno, California US-08848:The annual salary range for this position is $143,000.00-$286,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldOutlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
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