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Staff Data Scientist
WalmartStaff 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.
Core Competencies
Role fitCore 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
Tailor your resumeApplicant 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 & technologiesJavaPythonScalaSparkSQL
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