(USA) Staff, Data Scientist

Walmart•Bentonville, AR

11d

About The Position

Join Walmart as a Staff Data Scientist and use advanced analytics, machine learning, and data strategy to develop business insights. The role identifies and validates data sources, develops and deploys predictive models, and creates data visualizations to support decision-making across business domains. It translates business challenges into data-driven solutions while ensuring model accuracy and scalability, and requires technical proficiency, strategic thinking, and effective communication. The team brings together data engineering, software engineering, data science, and business analysis to deliver production-ready solutions aligned with business goals. It develops enterprise-scale machine learning systems that process product attributes for accurate taxation across Walmart sales channels. Working with business stakeholders, the team creates scalable AI applications and continuously improves models that support operations and data-driven decision-making.

Requirements

Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 4 years of experience in an analytics-related field.
Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 2 years of experience in an analytics-related field.
Option 3: 6 years of experience in an analytics or related field.
Expertise in predictive analytics, machine learning algorithms, and advanced statistical modeling techniques.
Proficiency in Python and data visualization tools such as Matplotlib, Plotly, or Tableau.
Strong understanding of data strategy, data quality standards, and data governance principles.
Experience with model assessment, validation, deployment, and scaling in production environments.
Ability to translate complex business problems into data-driven solutions using appropriate analytical methods.
Knowledge of MLOps, automation, and natural language processing applications.
Effective communication skills to present insights and influence stakeholders.

Nice To Haves

Data science, machine learning, and optimization models experience.
PhD 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.
Background creating inclusive digital experiences, including knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices.

Responsibilities

Identify and source relevant data from multiple business domains and databases to support analytics initiatives.
Conduct data quality assessments and ensure data integrity for accurate analysis and modeling.
Develop, validate, and tune predictive models using advanced statistical and machine learning techniques.
Design and implement data visualizations to communicate insights to stakeholders.
Collaborate with cross-functional teams to translate business problems into data-driven solutions.
Deploy and monitor models in production environments, ensuring scalability and performance.
Mentor team members on analytical methods, coding best practices, and data storytelling.

Benefits

Competitive pay.
Performance-based bonus awards.
Medical, vision, and dental coverage.
401(k).
Stock purchase.
Company-paid life insurance.
Paid time off, including sick leave.
Parental leave.
Family care leave.
Bereavement leave.
Jury duty leave.
Voting leave.
Short-term and long-term disability.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
PTO and/or PPTO for vacation, sick leave, holidays, or other purposes.
Live Better U Walmart-paid education benefit for eligible full-time and part-time associates; tuition, books, and fees are covered for eligible programs.