(USA) Senior Manager, Data Science

Position Summary...

What you'll do...

The Senior Manager, Data Science in E2E Product Excellence team will be a key contributor in AI discovery, research, algorithmic solution design, and rapid prototyping of ML solutions to enhance efficiency across Walmart's supply chain operations.

This role will focus on designing ML and OR models that unify supply chain signals to improve inventory placement, optimize fulfillment and capacity planning. The Senior Manager will be responsible for detailed ML/AI model design, feature engineering, model development and experimentation, and pilot testing with iterative refinement. Success in this role will require close partnership with cross-functional teams, including data governance, engineering, product, business and operations.

What you'll do:

• Understanding Business Context: Requires knowledge of industry factors, business practices across domains like product, supply chain, and retail, and key business metrics. Translates business needs into projects aligned with strategy, develops domain-specific artifacts, and connects business needs to actionable solutions. Provides insights and recommendations to address complex issues and drive ROI or cost savings.

• Tech. Problem Formulation: Requires knowledge of analytics, big data, automation, and business insights. Translates business problems into data-driven solutions, identifies suitable methods and tools, and shares use cases to demonstrate their effectiveness.

• Data Source Identification: Requires knowledge of business domains, data categories, storage systems (SQL/NoSQL), and data quality. Identifies suitable data sources, prioritizes requirements, ensures alignment with SLAs, and performs initial data quality checks.

• Data Strategy: Requires knowledge of data-driven decision-making, data management, governance, quality standards, and scalability. Applies strategic principles to solve routine business problems and unlock the value of data assets.

• Code Development and Testing: Requires knowledge of coding languages (e.g., SQL, Java, Python) and testing methods (static, dynamic, manual). Develops solutions by writing code based on business and technical requirements and tests using appropriate approaches.

• Analytical Modeling: Requires expertise in feature selection, exploratory data analysis methods, and advanced statistical techniques, including graphical models, Bayesian inference, neural networks, support vector machines (SVM), random forests, basic natural language processing (NLP), and vision models. Proficiency in multivariate calculus, optimization methods (Newton-Raphson, gradient descent), and numerical optimization techniques (linear, integer, and quadratic programming) is essential. Uses R/Python to develop custom models for complex data. Conducts statistical analysis, hypothesis testing, and clustering to derive insights. Designs experiments, refines features, and mentors junior associates on advanced modeling techniques.

• Model Deployment and Scaling: Requires knowledge of how variables and features impact model performance, as well as an understanding of servers and model storage formats. Supports the deployment of analytical models into production, evaluates model performance, and ensures the scalability and sustainability of models over time.

• Model Assessment and Validation: Requires knowledge of model fit testing, tuning, and validation techniques (e.g., Chi-square, ROC curve, root mean square error) and the impact of variables on model performance. Identifies evaluation metrics and applies best practices for testing and tuning to assess accuracy, fit, validity, and robustness, particularly for multi-stage models and model ensembles.

• Data Visualization: Requires knowledge of best practices for visualizing complex data, using tools like Python, R, GGplot, Matplotlib, Plotly, Tableau, and PowerBI. Applies advanced techniques to create clear graphical representations of data and model outcomes. Designs visualizations based on customer needs, working with UX/UI teams as needed. Presents data effectively to business audiences, using appropriate frameworks to convey clear messages and customize communication based on stakeholder needs. Mentors junior associates on visualization techniques and storytelling approaches.

• Expertise and Guidance: Demonstrates up-to-date expertise, applying it to develop, execute, and improve action plans. Provides expert advice, aligns efforts with business needs, and builds commitment to perspectives and solutions.

• Business Solutions Implementation: Builds relationships with key stakeholders, identifies business needs, implements necessary processes, monitors progress, and adapts to competing demands and changes, capitalizing on improvement opportunities.

• Compliance and Ethics: Models adherence to company policies, values, and ethics, incorporating them into business plans, using the Open Door Policy, and guiding others in applying these standards in business processes.

What you'll bring:

• Proficient with database technologies and distributed datastores, including SQL and NoSQL.

• Skilled in coding languages such as SQL, Java, C++, and Python.

• Experienced in machine learning model training, testing, tuning, and validation, using techniques like Chi-square, ROC curve, and root mean square error (RMSE).

• Proficient with data visualization tools, including Tableau, Matplotlib, and Plotly.

• Skilled in feature relevance and selection, as well as exploratory data analysis techniques.

• Expertise in advanced statistical methods and modeling techniques, including graphical models, Bayesian inference, NLP, computer vision, neural networks, SVM, and Random Forest.

• Strong foundation in multivariate calculus and statistical models underlying standard ML models.

• Experience in analytics, big data analytics, and automation techniques.

• Knowledge of classical optimization techniques, including Newton-Raphson and Gradient Descent.

• Familiar with numerical optimization methods, including Linear Programming, Integer Programming, and Quadratic Programming.

• Deep understanding of the business value of data and how data-driven insights influence decisions.

The above information has been designed to indicate the general nature and level of work performed in the role.  It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. 

About Walmart General/Not Function Specific

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries—all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?

Future Ways of Working

Our company's success can be attributed to our employees. While technology has allowed us to be effective while working remotely, there is no substitute for being in the office together; it helps to shape our culture, collaborate, innovate, build relationships, and move more quickly. We strive to provide flexibility in order to promote a healthy work-life balance but recognize that in-person interactions are important to our culture and shared success. We'll meet in person on a regular and purposeful basis.

Benefits & Perks 

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. 

Equal Opportunity Employer 

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, ideas and opinions – while being inclusive of all people. 

Who We Are 

Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement.  From day one, you’ll be empowered and equipped to do the best work of your life.

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.

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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.

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For information about PTO, see https://one.walmart.com/notices.

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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 $110,000.00-$220,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- Stock

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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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, PhD 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, Supervisory experience, 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...

702 Sw 8Th St, Bentonville, AR 72716, United States of America