Senior Data Scientist — ML, A/B Testing & Strategic Impact

Walmart; Sunnyvale (CA); On-site; USD 172,000 - 286,000; Full time

Benefits offered by this job

Stock

Health benefits

401(k)

Job summary

Walmart is seeking a data science leader in Sunnyvale to drive advanced analytics, build predictive models, and guide cross-functional teams. You will design rigorous A/B tests, develop scalable analytics frameworks, and mentor junior data scientists while communicating insights to stakeholders.

The role emphasizes statistical rigor, machine learning expertise, and strong business acumen to influence product and operations decisions.

Qualifications

• Bachelor's degree plus 4 years analytics experience or
• Master's degree plus 2 years analytics experience or
• 6 years analytics experience

Responsibilities

• Identify and validate data across multiple business domains.
• Lead complex analytical initiatives to solve ambiguous problems.
• Design and evaluate A/B tests with rigorous statistics.
• Develop predictive models using advanced techniques.
• Perform exploratory data analysis and hypothesis testing.
• Build scalable analytical frameworks and automated solutions.
• Partner with cross-functional teams to influence decisions.
• Communicate insights through visualizations and recommendations.
• Mentor data scientists on methods and best practices.

Skills

Predictive analytics

Machine learning

Statistical modeling

SQL

Python

A/B testing

EDA

Data storytelling

Data governance

Mentoring

Education

Bachelor's degree in Statistics, Analytics, Mathematics, CS, IT or related field

Master's degree in Statistics, Analytics, Mathematics, CS, IT or related field

6 years of analytics related experience

Tools

Spark

Scala

R

Job description

Walmart is seeking a data science leader in Sunnyvale to drive advanced analytics, build predictive models, and guide cross-functional teams. You will design rigorous A/B tests, develop scalable analytics frameworks, and mentor junior data scientists while communicating insights to stakeholders.

The role emphasizes statistical rigor, machine learning expertise, and strong business acumen to influence product and operations decisions.