Senior Data Scientist
At a glance
Senior Data Science role at Walmart. Bentonville · full-time · $110,302–$180,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Choose fit-for-purpose sources for logistics data, check extracted data quality and follow service-level priorities
- Build and test Python solutions, then help move analytical models into production and keep them reliable at scale
- Explore data, select modeling approaches, test hypotheses and tune models against accuracy and robustness measures
- Turn business problems into data solutions, recommendations, project cases and measures of return or savings
- Create dashboards and visual explanations, present insights to stakeholders, and guide junior associates in analytics
What you bring
- A relevant master’s degree plus at least one year in analytics, or a relevant bachelor’s degree plus at least three years
- Experience using SQL and big-data tools on high-volume logistics data, with Python for production data science
- Experience with forecasting, MLOps, experimentation and causal inference, and machine learning for business improvements
- Experience with Tableau, BI and executive storytelling, plus large-scale algorithm development, testing and KPI alignment
Who this fits
This role suits a senior data scientist who can combine hands-on modeling and production work with business recommendations and stakeholder communication. The position is based in Bentonville, Arkansas.
From the employer
What you'll do...
Position: Senior Data Scientist
Job Location: 811 Excellence Dr, Bentonville, AR 72716
Duties: Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data. Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Model Deployment and Scaling: Supports efforts to ensure that analytical models and techniques used can be deployed into production. Supports evaluation of the analytical model. Support the scalability and sustainability of analytical models. Code Development and Testing: Writes code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements. Tests the code using the recommended testing approach. Model Assessment and Validation: Identifies the model evaluation metrics. Applies best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles. Data Visualization: Generates appropriate graphical representations of data and model outcomes. Understands customer requirements to design appropriate data representation for multiple data sets. Works with User Experience designers and User Interface engineers as required to build front end applications. Presents to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding. Customizes communication style based on stakeholder under guidance, and leverages rational arguments. Guides and mentors junior associates on story types, structures, and techniques based on context. Understanding Business Context: Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy and develops domain specific artifact. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Identifies and recommends relevant business insights pertaining to their area of work. Tech. Problem Formulation: Translates/co-owns business problems within one's discipline to data related or mathematical solutions. Identifies appropriate methods/tools to be leveraged to provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem. Analytical Modeling: Selects the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Defines and finalizes features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identify the dimensions of the experiment, finalize the design, test hypotheses, and conduct the experiment. Performs trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentors and guides junior associates on basic modeling and analytics techniques to solve complex problems.
Minimum education and experience required: Master’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field plus 1 year of experience in an analytics related field; OR Bachelor’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field plus 3 years of experience in an analytics related field.
Skills Required: Must have experience with: SQL and big-data tooling for mining and transforming high-volume logistics datasets; Python for production-grade data science; Time-series forecasting; MLOps and product ionization, including feature pipelines, model monitoring, Airflow-style orchestration, and reliability; Experimentation and causal inference (A/B tests and uplift modeling) to translate business needs into measurable DS solutions; Applying machine learning (supervised or unsupervised models) to improve efficiency, cost, and experience; Large-scale algorithm development and testing, including design, A/B evaluation, and KPI alignment; Cross-functional communication and stakeholder management with product/engineering/ops; Tableau dashboarding and BI visualization, including building executive dashboards, operational reporting, and self-service analytics; Business intelligence, including data warehousing, ETL, KPI frameworks, and integration with tools such as Tableau; Executive presentation and storytelling. Employer will accept any amount of experience with the required skills.
Rate of pay: $110,302.00 - 180,000.00/year. Additional compensation includes annual or quarterly performance incentives.
Benefits: At Walmart, we offer competitive pay as well as performance-based incentive 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, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.
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.com.
Wal-Mart is an Equal Opportunity Employer.
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.
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