Senior, Data Scientist (TEST REQ - DO NOT APPLY)

Walmart•Bentonville, AR

1d•$90,000 - $180,000•Onsite

About The Position

The Senior Data Scientist identifies fit-for-purpose data sources, performs initial data-quality checks, and applies data strategy principles to routine business problems. The role supports deploying and scaling analytical models, develops and tests code, and evaluates and validates models using appropriate metrics and techniques. It also creates visualizations and communicates model outcomes to business audiences, works with user-experience and user-interface partners as needed, and helps connect business needs to data-driven solutions. The position formulates business problems as analytical or mathematical problems, selects suitable methods and tools, and builds custom analytical models. Work includes exploratory data analysis, feature selection, experiment design, trend and cluster analysis, and recommendations based on findings. The Senior Data Scientist also mentors junior associates and advises stakeholders, develops business cases, and translates requirements into projects aligned with business strategy. The role is expected to apply current expertise and best practices, build stakeholder partnerships, identify improvement opportunities, and adapt to changing priorities. It models company policies, ethics, and values, supports an inclusive and collaborative workplace, develops talent through coaching and feedback, and focuses on customer and member needs and continuous improvement.

Requirements

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 3 years of experience in an analytics-related field; or a master’s degree in one of these fields and 1 year of analytics-related experience; or 5 years of experience in an analytics or related field.
Knowledge of data sources, business requirements, database technologies, distributed data stores, and data quality.
Knowledge of data strategy, data management, data governance, accessibility, storage, scalability, and the business value of data.
Knowledge of model deployment and scaling, model performance, and model formats and servers.
Knowledge of coding languages such as SQL, Java, C, or Python, and software testing methods.
Knowledge of model fit, tuning, validation, and evaluation techniques, including metrics such as chi-square, ROC curve, and root mean square error.
Knowledge of data visualization guidelines and tools, including Python or R libraries, Tableau, and Power BI, and ability to communicate findings to stakeholders.
Knowledge of business domains, business practices, relevant metrics, and the ability to translate business requirements into analytical solutions.
Knowledge of analytics, big-data analytics, automation methods, and business problem formulation.
Knowledge of exploratory data analysis, feature selection, statistical methods, and advanced modeling techniques such as Bayesian inference, neural networks, support vector machines, and random forests.
Knowledge of programming in R or Python, multivariate calculus, statistical models, classical optimization, and numerical optimization methods.
Ability to design experiments, test hypotheses, perform trend and cluster analysis, and provide business recommendations.
Ability to mentor junior associates and collaborate with stakeholders and cross-functional partners.

Nice To Haves

Experience in data science, machine learning, or optimization models.
Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
Successful completion of one or more assessments in Python, Spark, Scala, or R.
Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch.
Knowledge of inclusive digital experiences and implementation of Web Content Accessibility Guidelines (WCAG) 2.2 AA standards and assistive technologies.

Responsibilities

Identify suitable data sources based on business requirements, data quality, and service-level needs, and perform initial quality checks on extracted data.
Apply data strategy principles, including data management, quality, governance, accessibility, storage, and scalability, to business problems.
Support analytical model evaluation, production deployment, scalability, and sustainability.
Write and test code using appropriate programming languages and testing approaches.
Identify model evaluation metrics and apply model testing, tuning, and validation techniques to assess accuracy, fit, validity, and robustness.
Create appropriate visual representations of data and model outcomes, tailor communications to stakeholders, and present clear messages to business audiences.
Work with user-experience designers and user-interface engineers as needed to build front-end applications.
Recommend solutions to complex business issues, develop business cases, translate business requirements into projects and tasks, and connect business needs with tangible outcomes.
Formulate business problems as data-related or mathematical problems and identify suitable methods and tools.
Select analytical modeling techniques, conduct exploratory data analysis, define and refine features, design and conduct experiments, and perform trend and cluster analysis.
Provide recommendations and key insights to the business based on analytical findings.
Mentor and guide junior associates on visualization, modeling, and analytics techniques.
Apply current expertise and best practices to develop, execute, and improve action plans; support business solutions through stakeholder partnerships and process improvement.
Model compliance with company policies, ethics, and values; foster an inclusive, collaborative, and accountable workplace focused on customers and members and continuous improvement.

Benefits

Medical, vision, and dental coverage.
401(k).
Stock purchase plan and possible stock compensation.
Company-paid life insurance.
Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
Short-term and long-term disability.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
Walmart-paid education benefit program covering tuition, books, and fees for eligible programs.
Performance-based bonus awards.