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Walmart

Staff Data Scientist

Walmart

Staff Data Scientist building scalable machine learning products for Walmart Marketplace, a global e-commerce platform. Developing marketing intelligence models, advising stakeholders, mentoring data scientists, and advancing research-driven initiatives.

Posted 8/5/2026full-timeBangalore • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and scaling data science solutions, with a strong foundation in machine learning and statistics. Proven ability to mentor junior team members and manage multiple projects while collaborating with business stakeholders to drive impactful marketing intelligence solutions.

Highest-signal resume keywords
Machine Learning ExpertisePython Coding SkillsSQL/Hive ProficiencyStakeholder ManagementMentoring Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningStatisticsData AnalysisDeep LearningSupervised LearningUnsupervised LearningData Science SolutionsAlgorithm DevelopmentResearch PublicationE-commerce Analytics
Soft Skills
MentoringCollaborationCommunicationProblem-SolvingProject Management
Tools & Technologies
PythonJavaScalaSQLHiveSpark
Industry Keywords
MarketplaceBusiness OutcomesContinuous ImprovementStakeholder ConsultationData Science Best Practices

Tech Stack

Tools & technologies
JavaPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Develop and scale data science solutions for outstanding Marketplace business outcomes
  • Work with data scientists and machine learning engineers to develop, implement, and test scalable marketing intelligence solutions
  • Consult with Marketplace business stakeholders on algorithm-based recommendations and translate them into business actions
  • Mentor junior members
  • Individually execute multiple projects concurrently
  • Manage continuous improvement of data science and machine learning initiatives using industry best practices and current research
  • Propose, conduct, and report original and collaborative research, including publications
  • Promote and support company policies, procedures, mission, values, and ethics standards

Requirements

What you’ll need
  • Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 4 years' experience in an analytics-related field; or master's degree and 2 years' experience; or 6 years' experience in an analytics or related field
  • Very good knowledge of machine learning and statistics foundations
  • Significant original practical contributions to machine learning
  • Experience with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems, preferably in e-commerce
  • Strong Python coding skills
  • Ability to work with at least one other programming language, such as Java or Scala
  • Expert in SQL/Hive
  • Ability to work with Spark
  • Extensive hands-on experience building and deploying state-of-the-art classic machine learning and deep learning models
  • Strong business understanding and stakeholder management capabilities
  • Experience mentoring data scientists in developing machine learning solutions
  • Excellent academic or industrial track record of original and collaborative research, with publications

Benefits

Comp & perks
  • Incentive awards for performance
  • Maternity and parental leave
  • PTO
  • Health benefits
  • Flexibility for associates to manage their personal lives
  • Training in future skillsets
  • Opportunities to gain new skills and experience