45 applicants

This job has closed.

Company

Original Job Post

Walmart · 3 days ago

Staff Data Scientist

Sunnyvale, CA

Full-time

Onsite

Mid Level

$143K/yr - $286K/yr

4+ years exp

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Insider Connection @Walmart

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Responsibilities

Use statistical modeling and machine learning techniques to analyze large and complex data sets

Drive experimentation for Walmart eCommerce products and collaborate with cross-functional teams

Develop a deep understanding of 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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

StatisticsEconomicsMathematicsComputer Science2 years' experience6 years' experienceData ScienceStatistical ModelsAlgorithms/B TestingMachine LearningOptimizationExperimentation TechniquesProgrammingPythonRBig DataHadoopSparkOpen Source FrameworksScikit LearnTensorflowTorchWeb Content Accessibility GuidelinesWCAG 2.2 AA StandardsAssistive TechnologiesDigital AccessibilityProblem-SolvingCommunicationInclusivity

Required

Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field

Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field

6 years' experience in an analytics or related field

Preferred

Masters or equivalent degree in Statistics, Mathematics, Computer Science, or a related field

4-6 years of experience in a data science or analytics role, with proven experience in developing statistical models and algorithms to drive business impact

4+ years of A/B testing experience

Demonstrated expertise in machine learning, optimization, and experimentation techniques

Strong programming skills, especially in Python or R, and familiarity with big data tools and technologies such as Hadoop and Spark

Excellent communication skills with the ability to translate complex analytical concepts to non-technical stakeholders

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

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.

Benefits

Health benefits including medical, vision, and dental coverage

Financial benefits such as 401(k), stock purchase, and company-paid life insurance

Paid time off benefits like PTO, parental leave, family care leave, bereavement, jury duty, and voting

Short-term and long-term disability benefits

Company discounts

Military Leave Pay

Adoption and surrogacy expense reimbursement

Annual or quarterly performance bonuses

Stock options

Paid sick leave

Education benefits through Live Better U program

Company

Walmart

Glassdoor

3.4

Walmart is a retail corporation that operates several chains of discount department and warehouse stores.

Founded in 1962

Bentonville, Arkansas, USA

10,001+ employees

http://www.walmart.com

H1B Sponsorship

Walmart has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

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2020 (2187)