(USA) Senior Manager, Data Science

Reposted 3 Hours Ago
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Sunnyvale, CA, USA
Hybrid
143K-286K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
Lead and deliver advanced machine learning and statistical modeling projects: design, validate, deploy, and monitor models at scale. Mentor data scientists, translate business needs into analytics solutions, build visualizations, collaborate cross-functionally, and ensure models drive measurable business outcomes.
Summary Generated by Built In
Position Summary...

What you'll do...Role summary:
The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy complex models that drive strategic business decisions. This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members, collaborating cross-functionally, and ensuring alignment with organizational goals. The successful candidate will apply rigorous evaluation techniques, oversee model deployment at scale, and communicate findings effectively to stakeholders, fostering continuous improvement and innovation within a dynamic business environment.
About the team:
The CDI Data Science team is integral to the Customer Data & Identity organization within Walmart US Decision Sciences. This team develops advanced machine learning, deep learning, and agentic capabilities to support products and platforms across Customer Identity, Intelligence, Segmentation, Marketing, and decisioning systems. The team applies rigorous modeling, data visualization, and analytical techniques to deliver actionable insights and scalable solutions. Collaborating closely with business stakeholders, the team drives innovation and continuous improvement to enhance customer experiences and business outcomes through data-driven strategies and cutting-edge technologies.
What you'll do:
  • Lead the development, assessment, and validation of advanced analytical models using best practices to ensure accuracy, robustness, and business relevance.
  • Design and implement data visualization solutions that effectively communicate complex insights to stakeholders and support decision-making.
  • Translate business requirements into actionable data science projects aligned with strategic objectives and measurable outcomes.
  • Guide and mentor team members on modeling techniques, feature engineering, and data analysis methodologies.
  • Oversee model deployment, monitoring, and continuous improvement to maintain performance at scale.
  • Collaborate cross-functionally with product, program and engineering teams to execute initiatives by identifying data sources, ensuring quality, and building data-driven business solutions.

What you'll bring:
  • Extensive experience in data science, machine learning, and advanced statistical modeling techniques.
  • Proficiency in Python, SQL, and data visualization tools such as Tableau, PowerBI, and Python libraries.
  • Strong leadership and people management skills with a proven ability to mentor and develop teams.
  • Expertise in model assessment, validation, deployment, and scaling within complex business environments.
  • Solid understanding of business strategies and ability to translate data insights into actionable recommendations.
  • Demonstrated project management capabilities and experience aligning technical solutions with business goals.
At Walmart, we offer competitive pay as well as performance-based bonus 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, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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.
The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

809 11th Ave, Sunnyvale, CA 94089-4731, United States of AmericaWalmart 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.

Skills Required

  • Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in analytics-related field.
  • Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in analytics-related field.
  • 7 years' experience in an analytics or related field (alternative to degree-based options).
  • Extensive experience in data science, machine learning, and advanced statistical modeling techniques.
  • Proficiency in Python.
  • Proficiency in SQL.
  • Proficiency in data visualization tools such as Tableau, Power BI, and Python visualization libraries.
  • Expertise in model assessment, validation, deployment, monitoring, and scaling in production environments.
  • Strong leadership, people management, and mentoring skills.
  • Demonstrated project management capabilities and ability to align technical solutions with business goals.

Walmart Global Tech Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.

  • Strong & Reliable Incentives Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
  • Retirement Support Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
  • Parental & Family Support Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.

Walmart Global Tech Insights

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The Company
HQ: Bentonville, AR
578,950 Employees

What We Do

Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.

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