Position Summary...
What you'll do...
At Walmart, we pride ourselves for knowing our customers and connecting with them better than any other company. We interact with our customers across more categories than any company in the world. The Customer Decision Science team which is a part of the Customer Insights & Strategy team in the Marketing org at Walmart analyzes every store trip, web and app visit, service interaction, search, click, purchase and survey response to help deliver the easiest shopping experience digitally and physically. We are a team of decision science practitioners who work together to uncover the why behind the customer behavior while measuring the outcomes from a customer and competitive lens. As a Senior Data Scientist in the team, you will have the unique opportunity to leverage the power of technology, big data and analytics to improve the lives of the 100M+ households that shop at Walmart every year. You will be responsible for driving Walmart's High Value Habits initiatives by identifying the primary accelerators and decelerators of customer loyalty, translating these findings into actionable insights that directly inform high-level business strategy. What We're Looking For
Well balanced skills - People have trouble pinning you down. Both business and technical/data teams claim you as their own. You are equal parts technical and functional. You are equally comfortable and effective in persuading both technical and business audiences.
Data science & analytics expertise - You excel at translating ambiguous business questions into concrete, actionable analysis plans and then executing them with precision. You are a pro at designing and building new and impactful customer-centric KPIs and metrics to measure customer and competitive dynamics. You are equally strong at getting into the weeds and making sure that the data needed to support these metrics is consistent and available. You are very comfortable rolling up your sleeves when needed to write complex SQL queries, building User Defined Functions (UDFs) to scale logic, and strive to balance speed with effective code design. You have mastery over the fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses.
High Agency - You are able to use your expert understanding of data structures in order to scope and define data needs to execute projects. You are a relentless unblocker; when faced with technical debt or data gaps, you take the initiative to find a path forward without needing permission.
Project ownership - You are able to independently execute and oversee end-to-end projects with a high degree of ambiguity. You have strong organizational skills that enable you to manage multiple priorities, set expectations and collaborate across stakeholders, managers and peers.
Business acumen - You are able to translate insights into relevant business recommendations, anticipate the needs of business stakeholders and connect the dots across various teams, research and insights in order to build convincing and synthesized business recommendations.
Great communicator - You're capable of telling the story behind the data to an executive audience and you are a pro at building slide decks that can simplify any complex story. You can customize your communication style based on stakeholders. You can easily translate a business question to an analysis technique and provide specs to engineering teams or analysts.
Data visualization - You are a pro at leveraging visualization to build compelling stories based on @context to integrate multiple pieces of information into cohesive insights.
People leadership - You can influence decision making across peers and managers by supporting your point of view with data-driven insights.
Responsibilities
Lead and execute advanced analytics for Walmart's High Valua Habits initiatives, focusing on deepening customer loyalty and retention through data-driven strategic planning.
Proactively identify opportunities for business growth by mining customer data and translating these findings into a prioritized research and analytics roadmap.
Design, build, and deploy sophisticated quantitative frameworks (causal inference, propensity models, cohort analyses) that move beyond correlation to establish cause-and-effect in customer behavior.
Lead project teams that include Data Engineering, Product, Marketing, Strategy and Finance to ensure data-driven insights are integrated into the product roadmap and financial forecasts.
Implementing and scaling best practices. This includes writing/reviewing User Defined Functions (UDFs) to standardize complex business logic and advocating for reproducible research practices in R .
Executive Influence: Act as a subject matter expert in leadership forums, using data to challenge assumptions and drive a customer-centric culture.
Qualifications Minimum Qualifications
BA/BS in Mathematics, Statistics, Computer Science, Economics, or related field with 3-5+ years of experience in Data Science/Analytics; OR a Master's degree with 2-3+ years of experience; OR a PhD with 2+ years of experience.
Mastery of SQL (BigQuery/Hive preferred). Expert experience building scalable, reusable data assets including the design and deployment of User Defined Functions (UDFs) to handle high-cardinality data and complex business transformations.
Expert proficiency in R or Python for statistical modeling, simulation, and data visualization (e.g., Tidyverse, ggplot2, Shiny for R; pandas, scikit-learn, statsmodels for Python). Proven ability to write production-grade, reproducible code.
Deep proficiency in cohort analyses , clickstream data , and customer metrics. Proven track record of leveraging high-volume web/app event data to drive customer growth and inform product or marketing strategy.
Extensive experience in experimental design and observational causal methodologies (e.g., Propensity Score Matching, Difference-in-Differences, Synthetic Control).
Demonstrated ability to manage multiple high-impact projects simultaneously with high agency and minimal oversight.
Preferred Qualifications
Experience developing internal R packages/UDFs to standardize team workflow
Deep experience in cloud-based big data environments (GCP/BigQuery or Snowflake), with a focus on optimizing query performance and cost.
Experience leading code reviews and mentoring junior team members on statistical best practices and efficient coding standards.
Prior experience in Retail, E-commerce, or analyzing complex omni-channel customer journeys.
Why You'll Love Working Here We value high-ownership mentalities and intellectual curiosity. You will have the autonomy to solve massive problems at the scale of the world's largest retailer, with the resources and data to see your insights turn into real-world customer impact. 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.
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 (https://one.walmart.com/) .
The annual salary range for this position is $108,000.00 - $216,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, Master'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's accessibility standards and guidelines for supporting an inclusive culture.
Primary Location...
221 River St, Hoboken, NJ 07030, United States of America
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.
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
