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Data Scientist III

Los Angeles, CA

Pay
$108,000–216,000/year — pay source
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. Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. 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.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Walmart

What you’ll work on

Full posting
  • Develop statistical models and algorithms to analyze data and drive predictive modeling

  • Gather and synthesize internal and external data into large datasets

  • Present insights and recommendations to key stakeholders and translate them into business actions

  • Build and maintain a library of reusable algorithms and documented code

  • Coach and mentor analysts across the division and project teams

From the employer’s posting
developing statistical models and computational algorithms to analyze data
gathering data from internal and external sources; evaluating data usability based on project goals; synthesizing data into large datasets
translating results into business actions
building and maintaining a library of reusable algorithms for future use; ensuring developed code is documented
coaching and mentoring analysts across the division and project teams

Tools in this posting

  • Python
  • SQL
Source — Tool mentions in context
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.

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 29, 2026 · 1 day ago
Recorded sightings
2
Last seen by us
Oct 30, 2026

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Job description

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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. 

 

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. 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.




#LI-DNI #LI-DNP

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.
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Los Angeles, CA

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