Data Scientist III

Walmart; Los Angeles (CA); On-site; USD 108,000 - 216,000; Full time

Benefits offered by this job

Health benefits

401(k) & stock purchase

Paid time off

Education assistance

Company discounts

Job summary

Walmart is seeking a Data Scientist III to transform data into actionable insights at its Los Angeles location. You will develop statistical models, conduct large-scale analyses, and present findings to stakeholders to influence business decisions.

The role emphasizes building reusable analytics libraries, mentoring analysts, and advancing data science capabilities across teams. Competitive salary and comprehensive benefits are provided.

Qualifications

• Master’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Data Science, or related field; OR Bachelor’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Data Science, or related field and 2 years of analytics experience.

Responsibilities

• Present data insights and recommendations to stakeholders by developing insights from data analysis and translating results into business actions.
• Develop analytical models and reusable algorithms to support project goals and drive predictive analytics.
• Coach and mentor analysts across divisions and project teams; collaborate with business partners on project goals and contingency planning.

Skills

Python

Machine learning

SQL

Data visualization

ETL

AzureML

Big data analytics

Cross‑functional collaboration

Education

Master’s degree in Statistics/Analytics/CS

Bachelor’s degree + 2 years analytics experience

Tools

AzureML

Job description

What you’ll do...

Position: Data Scientist III

Job Location: 6701 Center Dr W, Ste E_h, Los Angeles, CA 90045

Duties: Presents 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.

Minimum education and experience required: Master’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Data Science, or related field; OR Bachelor’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Data Science, or related field and 2 years of experience in an analytics or related field.

Skills required: 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.

Salary Range: $108,000/year to $216,000/year. Additional compensation includes annual or quarterly performance incentives.

• Health benefits include medical, vision and dental coverage.
• Financial benefits include 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting.
• Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.

Wal-Mart is an Equal Opportunity Employer.

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Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.