Senior Data Scientist
About The Position
The Senior Data Scientist develops data models and algorithms to support business solutions for Walmart eCommerce. The role builds and analyzes large, complex datasets from internal and external sources; conducts statistical analysis to identify trends and relationships; develops, trains, validates, and scales models and learning systems; and applies algorithms to new and large-scale datasets to support search results and predictions. The position also researches industry trends, techniques, and technologies, models current-state processes to identify improvements, and collaborates with cross-functional business partners and project teams. The role uses tools and technologies including MySQL, Hadoop, Weka, R, Matlab, ILog, HBase, MapReduce, LAPack, and Gurobi. Required analytical skills and technologies include SQL, Microsoft Excel, Python, PowerBI, Data Studio, Tableau, A/B testing, T-tests, causal inference, customer analysis, predictive modeling, machine learning, data cleaning and preprocessing, data pipelines, and programming in C, Python, and R. The position is based at 850 Cherry Avenue, San Bruno, California. The salary range is $142,438 to $234,000 per year, with additional annual or quarterly performance incentives.
Requirements
- Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 1 year of experience in an analytics-related field; OR a bachelor’s degree or equivalent in one of these fields and 3 years of experience in an analytics-related field.
- Experience preparing and cleaning large, complex datasets using SQL.
- Experience with data analytics and dashboarding tools, including Microsoft Excel.
- Experience writing Python scripts to schedule and run weekly summary statistics for metrics tracking.
- Experience with causal inference to estimate the impact of business strategies.
- Experience building analytical dashboards using PowerBI, Data Studio, or Tableau.
- Experience with statistical analysis tools and techniques, including A/B testing and T-tests.
- Experience in customer analysis and predictive modeling.
- Experience with descriptive analytics for predicting and tracking business metrics and analyzing datasets.
- Experience running machine-learning models.
- Experience with data cleaning, preprocessing, and data-pipeline building.
- Experience with programming languages including C, Python, and R.
- Graduate coursework, graduate research experience, or professional experience may be used to satisfy the required skills.
Responsibilities
- Develop custom data models and algorithms to drive business solutions.
- Build large and complex datasets from multiple internal and external sources.
- Conduct advanced statistical analysis to identify trends and significant data relationships.
- Build learning systems to analyze and filter continuous data flows and perform offline data analysis.
- Train algorithms to apply models to new datasets and future data.
- Validate models and algorithmic techniques.
- Scale algorithms to large datasets.
- Combine data features to develop search models and provide appropriate search results.
- Analyze datasets to predict future data characteristics and track business metrics.
- Research industry trends, techniques, best practices, and up-to-date technology to support assigned projects.
- Provide analytical support to Walmart eCommerce project teams.
- Work with cross-functional partners across the business.
- Develop models of the current state to identify needed improvements.
Benefits
- Medical, vision, and dental coverage.
- 401(k).
- Stock purchase plan.
- Company-paid life insurance.
- Paid time off, including sick leave.
- Parental leave.
- Family care leave.
- Bereavement leave.
- Jury duty and voting leave.
- Short-term and long-term disability.
- Education assistance, including 100% company-paid college degrees.
- Company discounts.
- Military service pay.
- Adoption expense reimbursement.
- Performance-based incentive awards, including annual or quarterly performance incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
