Senior, Data Scientist - WCP at Walmart Sunnyvale, CA

Hong Kong Study Skills Research Institute; Sunnyvale (CA); On-site; USD 117,000 - 234,000; Full time

Benefits offered by this job

Medical, vision, and dental coverage

401(k) and stock purchase program

Paid time off and parental leave

Education benefits covering tuition

Job summary

The Hong Kong Study Skills Research Institute is seeking an experienced Senior Data Scientist in Sunnyvale, CA, to join their Walmart eCommerce Product Analytics team. This role involves leveraging statistical modeling and machine learning techniques to enhance product offerings and customer experience.

Applicants should have a Master's degree and 3–5 years of relevant experience, including strong skills in Python or R. The position offers a competitive salary range of $117,000.00 - $234,000.00, along with comprehensive benefits.

Qualifications

• 3–5 years of experience in data science or analytics with proven experience in statistical models.
• Strong programming skills in Python or R and big data tools.
• Excellent communication skills to convey complex concepts.

Responsibilities

• Analyze large data sets to solve business problems.
• Drive experimentation for Walmart eCommerce products.
• Manage and mentor a team of data scientists.

Skills

Statistical modeling

Machine learning techniques

Python

R

A/B testing

Communication skills

Education

Master’s degree in Statistics, Mathematics, Computer Science, or related field

Tools

Hadoop

Spark

Job description

Senior, Data Scientist – WCP
Sunnyvale, CA

Overview

We are seeking an experienced Senior Data Scientist to join our Walmart eCommerce Product Analytics team. As a member of our team, you will develop and execute data‑driven strategies to improve our eCommerce product offerings and customer experience.

Responsibilities

• Use statistical modeling and machine learning techniques to analyze large, complex data sets to solve business problems and identify new opportunities.
• Drive experimentation for Walmart eCommerce products and partner with engineering, UX design, product management, and business analytics to develop data‑driven insights and recommendations.
• Develop and maintain a deep understanding of our customers, products, and business operations to inform data‑driven decisions.
• Manage, mentor, and lead a team of data scientists to ensure high‑quality work and growth opportunities.
• Lead multiple projects and domains across the organization.

Minimum Qualifications

• Master’s or equivalent degree in Statistics, Mathematics, Computer Science, or a related field.
• 3–5 years of experience in a data science or analytics role, with proven experience in developing statistical models and algorithms to drive business impact.
• 3+ years of A/B testing experience.
• Strong programming skills in Python or R; familiarity with big data tools such as Hadoop and Spark.
• Excellent communication skills, with the ability to translate complex analytical concepts to non‑technical stakeholders.

Preferred Qualifications

• Experiences with machine learning, optimization, and experimentation techniques.
• Demonstrated success in developing models that influence business strategy.
• Knowledge of digital accessibility best practices and WCAG 2.2 AA standards.

Salary & Benefits

• The annual salary range for this position is $117,000.00 - $234,000.00.
• Additional compensation includes annual or quarterly performance bonuses.
• Benefits include medical, vision, and dental coverage; 401(k), stock purchase program, and company‑paid life insurance; paid time off, parental leave, family care leave, bereavement, jury duty, and voting; short‑term and long‑term disability; company discounts; military leave pay; adoption and surrogacy expense reimbursement.
• Live Better U – a Walmart‑paid education benefit program covering tuition, books, and fees for a range of academic pursuits.

Equal Opportunity Statement

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity and being inclusive of all people.