Data Scientist III

Walmart•Los Angeles, CA

4d•$108,000 - $216,000•Onsite

About The Position

The Data Scientist III develops analytical models, statistical methods, and computational algorithms to generate insights and support business goals. The role gathers and evaluates internal and external data, synthesizes large datasets, identifies patterns and discrepancies, trains models, and codes, tests, and maintains analytical software tools. It applies the analytics project lifecycle to predictive modeling and presents findings and recommendations to stakeholders. The position works with project teams and business partners to define goals, select modeling approaches, plan and direct data analysis, develop reports, verify results, and communicate insights. It also supports continuous improvement by creating reusable solutions and algorithm libraries, documenting code, and coaching and mentoring analysts. The position is based at 6701 Center Dr W, Ste E_h, Los Angeles, CA 90045. The salary range is $108,000 to $216,000 per year, with additional annual or quarterly performance incentives. Walmart offers a range of health, financial, paid-time-off, and other benefits; eligibility and terms may vary.

Requirements

Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Data Science, or a related field; or a bachelor’s degree or equivalent in one of these fields and 2 years of experience in an analytics or related field.
Experience with Python object-oriented programming and building product proofs of concept, including machine-learning-based solutions and feature engineering.
Experience with SQL development, including ETL processes, complex queries, temporary tables, window functions, and user-defined functions.
Experience visualizing data using BI tools and visualization libraries.
Experience with distributed computing frameworks and large-scale data processing.
Experience with version control tools to build robust scripts that are easier to debug and track.
Experience with cloud environments, specifically AzureML.
Experience with exploratory data analysis, cohort analysis, and causal inference methods.
Experience helping cross-functional teams develop a platform from prototyping through production.

Responsibilities

Present data insights and recommendations to key stakeholders, translating analytical results into business actions.
Develop replicable solutions and maintain a library of reusable algorithms for future projects.
Document developed code and coach and mentor analysts across the division and project teams.
Gather and assess internal and external data, synthesize large datasets, and develop statistical models and computational algorithms.
Use the analytics project lifecycle to drive predictive modeling; code, test, and maintain analytical software tools.
Identify trends, patterns, and discrepancies in data, and train statistical models for replication in future projects.
Participate in large data analytics project teams and work with business partners to determine project goals and modeling needs.
Develop contingency plans, direct data analysis, gather data and prepare reports as needed, and ensure data supports project goals.
Analyze data using identified variables, review results for accuracy, and communicate findings to project teams and business partners.