(USA) Staff, Data Scientist

Walmart•Sunnyvale, CA

About The Position

The Staff, Data Scientist leverages advanced analytics, machine learning, and data visualization to support informed business decisions. The role identifies and sources relevant data, develops and validates predictive models, and deploys scalable solutions. It works with cross-functional teams to turn complex business challenges into data-driven strategies aligned with organizational goals, mentors associates, promotes data science best practices, and contributes to initiatives that improve operational efficiency and business value. The position is part of the Applied AI team, which develops Search and Personalization solutions to improve product discovery and the shopping experience. The team applies machine learning, deep learning, and generative AI to build scalable systems aligned with business objectives, and emphasizes technical excellence, continuous improvement, and customer-centered innovation.

Requirements

Proven expertise in predictive analytics, machine learning algorithms, and advanced statistical modeling techniques.
Proficiency in Python and data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
Strong understanding of data strategy, including data quality, governance, and scalable data storage solutions.
Experience assessing, validating, deploying, and continuously monitoring models using appropriate evaluation metrics.
Ability to translate complex business problems into data-driven solutions, with domain knowledge across multiple business functions.
Skills in exploratory data analysis, feature engineering, and applying AI and deep learning methods.
Effective communication skills to present insights and guide junior team members.
One of the following minimum qualifications: a bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 4 years of analytics-related experience; a master's degree in one of those fields and 2 years of analytics-related experience; or 6 years of experience in an analytics or related field.

Nice To Haves

Experience in data science, machine learning, or optimization models.
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, ensuring its quality and suitability for analysis.
Develop and implement data strategies aligned with business objectives, including data management, governance, and scalability.
Design, build, and validate predictive models using advanced machine learning and statistical techniques to solve complex business problems.
Create clear data visualizations and reports to communicate findings to stakeholders.
Collaborate with cross-functional teams to translate business requirements into analytical solutions and support decision-making.
Mentor junior team members on modeling techniques, data interpretation, and best practices.

Benefits

Medical, vision, and dental coverage.
401(k).
Stock purchase plan.
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.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
Live Better U education benefit, with tuition, books, and fees paid for eligible programs, subject to eligibility requirements.
Performance-based bonus awards; additional compensation may include stock for certain positions.