Senior Data Scientist — ML, Analytics & Impact

Walmart Inc.; Los Angeles (CA); Hybrid; USD 108,000 - 216,000; Full time

Benefits offered by this job

Health benefits

401(k) and stock purchase

Paid time off

Job summary

Walmart Inc. is seeking a Data Scientist III in Los Angeles to transform data into actionable insights and drive business outcomes. You will develop models, lead analytics projects, and deliver recommendations to stakeholders across the organization.

The role requires strong programming (Python), SQL, and ML skills, plus experience with large-scale data processing and cloud environments. A Master’s degree or equivalent with relevant experience is preferred.

Qualifications

• Experience with coding in object-oriented programming language (Python) and building product POCs, including machine learning based solutions and feature engineering.
• Experience with SQL development, including crafting ETL processes, leveraging complex queries, temp tables, window functions, and user-defined functions.
• Experience with visualization data using BI tools and visualization libraries.
• Experience with distributed computing frameworks and large-scale data processing for large volumes of 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 to drive deeper analysis and more impacts.
• Experience helping cross-functional teams to develop a platform from prototyping to production.
• Employer will accept any amount of experience with the required skills.

Responsibilities

• Present data insights and recommendations to key stakeholders by developing insights based on data analysis; applying analytical results to project goals; identifying trends and key insights; translating results into business actions; and presenting insights and recommendations to key stakeholders.
• Participates in the continuous improvement of data science and analytics by developing replicable solutions to ensure solutions are leveraged for future projects; building and maintaining a library of reusable algorithms for future use; ensuring developed code is documented; and coaching and mentoring analysts across the division and project teams.
• Develops analytical models to drive analytics insights by gathering data from internal and external sources; evaluating data usability based on project goals; synthesizing data into large datasets to support project goals; developing statistical models and computational algorithms to analyze data; utilizing the analytics project lifecycle process to drive predictive modeling; coding, testing, and maintaining analytical software tools; identifying trends, patterns and discrepancies in data; training statistical models for replication for future projects; and presenting data insights and recommendations to key stakeholders.
• Participates in large data analytics project teams; working with project teams and business partners to determine project goals; developing contingency plans for data analysis; determining modeling based on business needs; directing the analysis of data; gathering data and developing reports as needed; utilizing business knowledge to ensure data supports project goals; analyzing data based on identified variables; reviewing data results to ensure accuracy; and communicating results and insights to the project team and business partners.

Skills

Python

SQL

Visualization

Distributed computing

Version control

Exploratory data analysis

Cross-functional teamwork

Prototype to production

Education

Master’s degree or equivalent

Bachelor’s degree + 2 years experience

Tools

AzureML

ETL processes

Job description

Walmart Inc. is seeking a Data Scientist III in Los Angeles to transform data into actionable insights and drive business outcomes. You will develop models, lead analytics projects, and deliver recommendations to stakeholders across the organization.

The role requires strong programming (Python), SQL, and ML skills, plus experience with large-scale data processing and cloud environments. A Master’s degree or equivalent with relevant experience is preferred.