(USA) Senior Manager, Data Science
About The Position
As a Senior Manager, Data Science, you will lead advanced analytical initiatives to develop, validate, and deploy machine learning models that inform strategic business decisions. The role uses statistical modeling, data visualization, and programming to turn complex data into actionable insights. You will collaborate across functions to align data solutions with business objectives, mentor team members, and improve data-driven processes. Your leadership will support scalable model deployment and innovation to improve operational efficiency and deliver measurable business impact. The role is part of the Walmart+ Data Strategy & Analytics team, which transforms complex data into insights that support membership growth. The team integrates analytics across acquisition, engagement, and benefit innovation, partnering with business units on strategy and execution. Its work includes opportunity sizing, test design, and post-launch evaluation, with an emphasis on accountable analysis, clear communication, and measurable results that improve member experiences.
Requirements
- Extensive experience in data science, machine learning, and advanced statistical modeling techniques.
- Proficiency in Python, SQL, and data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
- Strong knowledge of model assessment, validation, and tuning methodologies.
- Ability to translate complex business requirements into actionable data science solutions aligned with strategic goals.
- Expertise in exploratory data analysis, feature engineering, and deployment of scalable models in production environments.
- Demonstrated leadership in mentoring teams and guiding technical development with a focus on business impact.
- Excellent communication skills to present insights and influence stakeholders effectively.
- One of the following minimum qualifications: a bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 5 years of experience in an analytics-related field; a master's degree in one of those fields and 3 years of analytics-related experience; or 7 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.
- Supervisory experience.
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch.
- Background in creating inclusive digital experiences and knowledge of WCAG 2.2 AA standards, assistive technologies, digital accessibility best practices, and accessibility standards and guidelines.
Responsibilities
- Lead assessment, validation, and tuning of advanced data science models to ensure accuracy, robustness, and business relevance.
- Develop and implement data visualization strategies using tools such as Python libraries and Tableau to communicate insights effectively.
- Collaborate with cross-functional teams to translate business requirements into scalable data science solutions aligned with organizational goals.
- Guide and mentor team members on advanced modeling techniques, feature engineering, and data analysis best practices.
- Oversee deployment and continuous monitoring of production models to maintain performance and scalability.
- Drive exploratory data analysis and statistical modeling to identify trends and support data-driven decision-making.
Benefits
- Competitive pay and performance-based bonus awards.
- 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, and voting leave.
- Short- 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, depending on job classification and length of employment.
- Live Better U, a Walmart-paid education benefit program for eligible full-time and part-time associates, covering tuition, books, and fees for eligible programs.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
