Senior Data Scientist

Walmart•San Bruno, CA

6d•Onsite

About The Position

The Senior Data Scientist develops custom data models and algorithms to support business solutions for Walmart eCommerce. The role builds complex datasets from internal and external sources, conducts advanced statistical analysis to identify trends and significant relationships, and develops learning systems for continuous data flows and offline analysis. It trains, validates, and scales algorithms for application to new and large datasets, including models used to predict future data characteristics and provide search results. The position also researches industry techniques and technology, models current business states to identify needed improvements, and works with project teams and cross-functional partners. The role uses tools and technologies including MySQL, Hadoop, Weka, R, Matlab, ILog, HBase, MapReduce, LAPack, and Gurobi. Required skills include preparing and cleaning complex SQL datasets; analytics and dashboarding; Python scripting for weekly summary statistics and metrics tracking; causal inference; analytical dashboards; statistical testing; customer analysis and predictive modeling; descriptive analytics; machine-learning models; data preprocessing and pipeline development; and programming in C, Python, and R. The employer requires either a master’s degree or equivalent in a listed or related field plus one year of analytics-related experience, or a bachelor’s degree or equivalent in a listed or related field plus three years of analytics-related experience. The employer will accept any amount of graduate coursework, graduate research experience, or professional experience with the required skills. The listed salary range is $142,438 to $234,000 per year, with 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 one year of experience in an analytics-related field; or a bachelor’s degree or equivalent in one of those fields and three years of analytics-related experience.
Experience preparing and cleaning large, complex datasets using SQL.
Experience with data analytics and dashboarding, including Microsoft Excel.
Experience writing Python scripts to schedule and run weekly summary statistics for metrics tracking.
Experience using causal inference to estimate the impact of business strategies.
Experience creating analytical dashboards using PowerBI, Data Studio, or Tableau.
Experience with statistical analysis tools and methods, 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.

Responsibilities

Develop custom data models and algorithms to drive business solutions.
Build complex datasets from multiple internal and external sources.
Conduct advanced statistical analysis to identify trends and significant data relationships.
Build learning systems to analyze continuous data flows and perform offline data analysis.
Train algorithms to apply models to new datasets.
Validate models and algorithmic techniques.
Scale algorithms to large datasets.
Combine data features to develop search models and provide appropriate search results.
Analyze large datasets and build algorithms to predict future data characteristics.
Support Walmart eCommerce projects as part of project teams.
Research industry trends, techniques, best practices, and up-to-date technology.
Work with cross-functional business partners.
Develop models of the current state to determine needed improvements.