Data Scientist III

Walmart•Los Angeles, CA

7d•$108,000 - $216,000

About The Position

The Data Scientist III develops analytical models and applies data analysis to generate insights and recommendations that support business and project goals. The role gathers, evaluates, and synthesizes data from internal and external sources; develops statistical models and computational algorithms; uses the analytics project lifecycle for predictive modeling; and codes, tests, and maintains analytical software tools. The position identifies trends, patterns, and discrepancies, trains models for reuse, and presents findings and recommendations to stakeholders. The role also supports continuous improvement in data science and analytics by creating replicable solutions, maintaining a library of reusable algorithms, documenting code, and coaching and mentoring analysts. As part of large analytics project teams, the Data Scientist III works with business partners to define goals, select modeling approaches, plan for contingencies, direct data analysis, validate results, and communicate insights.

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, specifically 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 business intelligence tools and visualization libraries.
Experience with distributed computing frameworks and large-scale data processing.
Experience with version control tools for building 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.
The employer will accept any amount of experience with the required skills.

Responsibilities

Develop data-driven insights and recommendations by analyzing data, identifying trends, translating results into business actions, and presenting findings to key stakeholders.
Create 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 data from internal and external sources, assess data usability, and synthesize data into large datasets to support project goals.
Develop statistical models and computational algorithms, and use the analytics project lifecycle to conduct predictive modeling.
Code, test, and maintain analytical software tools.
Identify trends, patterns, and discrepancies in data, and train statistical models for reuse in future projects.
Work with project teams and business partners to determine project goals and modeling approaches, and develop contingency plans for data analysis.
Direct data analysis, gather data, develop reports as needed, and use business knowledge to ensure data supports project goals.
Analyze data based on identified variables, review results for accuracy, and communicate results and insights to project teams and business partners.