Senior Data Scientist

Walmart • Bentonville, AR

7d • $110,302 - $180,000 • Onsite

About The Position

The Senior Data Scientist identifies suitable data sources, performs initial data quality checks, applies data strategy to business problems, and supports the deployment, evaluation, scalability, and sustainability of analytical models. The role develops and tests code using recommended programming languages and testing approaches, and evaluates models for accuracy, fit, validity, and robustness.

The position analyzes and visualizes data to address business needs, communicates findings to business and technical stakeholders, and helps build front-end applications in collaboration with user experience and interface teams. It translates business requirements into data science projects and recommendations, formulates business problems as data-related or mathematical solutions, and selects appropriate methods and tools.

The role develops custom analytical models, performs exploratory data analysis, defines and refines model features, designs and conducts experiments, and performs trend and cluster analysis. It also mentors junior associates in data visualization, modeling, and analytics techniques.

Requirements

• Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 1 year of experience in an analytics-related field; OR a bachelor’s degree or equivalent in one of those fields, plus 3 years of experience in an analytics-related field.
• Experience with SQL and big-data tooling for mining and transforming high-volume logistics datasets.
• Experience with Python for production-grade data science.
• Experience with time-series forecasting.
• Experience with MLOps and productionization, including feature pipelines, model monitoring, Airflow-style orchestration, and reliability.
• Experience with experimentation and causal inference, including A/B tests and uplift modeling, to translate business needs into measurable data science solutions.
• Experience applying supervised or unsupervised machine learning to improve efficiency, cost, and experience.
• Experience in large-scale algorithm development and testing, including design, A/B evaluation, and KPI alignment.
• Experience with cross-functional communication and stakeholder management involving product, engineering, and operations.
• Experience with Tableau dashboarding and BI visualization, including executive dashboards, operational reporting, and self-service analytics.
• Experience with business intelligence, including data warehousing, ETL, KPI frameworks, and integration with tools such as Tableau.
• Experience with executive presentations and storytelling.
• The employer will accept any amount of experience with the required skills.

Responsibilities

• Understand requirement priorities and service-level agreements, identify fit-for-purpose data sources, and perform initial data quality checks.
• Apply the defined data strategy to routine business problems involving a single function.
• Support the evaluation, production deployment, scalability, and sustainability of analytical models.
• Write and test code to develop solutions and application features using recommended programming languages and testing approaches.
• Identify model evaluation metrics and apply best-practice testing and tuning techniques to assess accuracy, fit, validity, and robustness.
• Generate graphical representations of data and model outcomes and design data representations for multiple datasets based on customer requirements.
• Work with user experience designers and user interface engineers as needed to build front-end applications.
• Present insights using appropriate visualization frameworks, adapt communication to stakeholders, and guide junior associates on storytelling techniques.
• Recommend solutions to complex business issues, develop project business cases with projected return on investment or cost savings, and translate business requirements into aligned projects and tasks.
• Connect business needs with tangible solutions and results, and identify relevant business insights.
• Translate business problems into data-related or mathematical solutions, select appropriate methods and tools, and explain how they address the problem.
• Select and develop analytical models for structured, complex data; conduct exploratory data analysis, including statistical analysis, hypothesis testing, and statistical inference.
• Define and refine model features, design and conduct experiments, test hypotheses, and perform trend and cluster analyses.
• Mentor and guide junior associates on modeling and analytics techniques.

Benefits

• Medical, vision, and dental coverage.
• 401(k), stock purchase, and company-paid life insurance.
• Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
• Short-term and long-term disability.
• Education assistance, including 100% company-paid college degrees.
• Company discounts.
• Military service pay.
• Adoption expense reimbursement.
• Annual or quarterly performance incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior