Data Scientist III

Walmart•Los Angeles, CA

6d•Onsite

About The Position

The Data Scientist III develops analytical models and data-driven insights to support project goals and business decisions. The role gathers and evaluates internal and external data, synthesizes large datasets, develops statistical models and computational algorithms, and uses predictive modeling processes. It also involves coding, testing, and maintaining analytical software tools; identifying patterns and discrepancies; training models for future use; and presenting recommendations to stakeholders. The position contributes to continuous improvement by creating replicable solutions, maintaining reusable algorithms, documenting code, and coaching and mentoring analysts. It participates in large data analytics projects, partnering with project teams and business stakeholders to define goals, determine modeling approaches, plan and direct analysis, validate results, and communicate findings.

Requirements

Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Data Science, or a related field; alternatively, a bachelor’s degree or equivalent in one of these fields and 2 years of experience in an analytics or related field.
Experience coding in an object-oriented programming language (Python) 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 (AzureML).
Experience with exploratory data analysis, cohort analysis, and causal inference methods.
Experience helping cross-functional teams develop a platform from prototyping through production.
The employer will accept any amount of experience with the required skills.

Responsibilities

Present data insights and recommendations to key stakeholders, translating analytical results into business actions.
Develop replicable data science and analytics solutions and maintain a library of reusable algorithms.
Document developed code and coach and mentor analysts across the division and project teams.
Gather and evaluate data from internal and external sources, 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, train statistical models for reuse, and present findings.
Collaborate with project teams and business partners to determine project goals, modeling approaches, and contingency plans for data analysis.
Direct data analysis, gather data and develop reports as needed, apply business knowledge to project goals, analyze identified variables, review results for accuracy, and communicate findings to teams and partners.