(USA) Senior, Data Scientist at Walmart Bentonville, AR

Hong Kong Study Skills Research Institute; Bentonville (AR); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Health benefits: medical, vision, and dental coverage

401(k) with company match

Paid time off including sick leave and parental leave

Job summary

The Hong Kong Study Skills Research Institute is hiring a Senior Data Scientist in Bentonville, AR. This role involves translating business challenges into data-driven solutions and building scalable analytics products.

The ideal candidate will hold a bachelor's degree in a relevant field with at least 3 years of experience in analytics, or a master's degree with 1 year of experience. Benefits include competitive pay, health coverage, and educational support.

Qualifications

• Bachelor's degree in a relevant field and 3 years' experience in analytics.
• Master's degree in a relevant field and 1 year experience in analytics.
• 5 years of experience in an analytics or related field.

Responsibilities

• Translate business challenges into data-driven solutions.
• Build scalable analytics products.
• Deploy models to production, ensuring scalability.

Skills

Data science

Machine learning

Python

SQL

Data Visualization

R

Education

Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, or related field

Master's degree in Statistics, Economics, Analytics, or related field

Tools

Tableau

PowerBI

Looker

Job description

Position Summary

USA Senior, Data Scientist at Walmart. Bentonville, AR.

What you'll do

Translate business challenges into data-driven solutions and build scalable analytics products.

• Business Context and Problem Formulation
  • Translate business problems into analytical solutions.
  • Apply suitable tools and methodologies.
  • Communicate insights and recommendations clearly.
• Data Acquisition and Strategy
  • Understand business domains, data requirements, and key processes.
  • Identify and extract suitable data sources (SQL, NoSQL).
  • Perform data quality checks and ensure data is fit for purpose.
  • Apply data governance, management, and quality standards.
  • Ensure data accessibility, scalability, and relevance for decision-making.
• Analytical Modeling
  • Strong understanding of machine learning fundamentals, especially classification and regression.
  • Build and evaluate models using logistic regression, decision trees, random forest, GBM, and other tree-based techniques.
  • Apply forecasting methods to predict future business outcomes.
  • Conduct exploratory data analysis and feature selection.
  • Design and analyze experiments; provide actionable insights.
• Model Deployment and Assessment
  • Deploy models to production (good to have); ensure scalability and sustainability.
  • Evaluate models using ROC, RMSE, Chi-square, etc.
• Coding and Testing
  • Write and test code in Python, SQL, R, or similar languages.
  • Use appropriate testing methods.
• Data Visualization
  • Create dashboards and visualizations using tools like Tableau, PowerBI, Looker.
  • Present insights effectively to technical and non-technical audiences.

Minimum Qualifications

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics‑related field.
• Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year experience in an analytics-related field.
• 5 years of experience in an analytics or related field.

Preferred Qualifications

• Data science, machine learning, optimization models.
• Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
• Successful completion of one or more assessments in Python, Spark, Scala, or R.
• Experience using open source frameworks (e.g., scikit-learn, TensorFlow, Torch).
• Background in creating inclusive digital experiences, knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

Benefits

• Competitive pay with performance‑based bonuses.
• Health benefits: medical, vision, and dental coverage.
• Financial benefits: 401(k), stock purchase, company‑paid life insurance.
• Paid time off: PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Short‑term and long‑term disability.
• Company discounts.
• Military Leave Pay.
• Adoption and surrogacy expense reimbursement.
• Live Better U education benefit program (tuition, books, and fees paid).

Additional Compensation

Annual or quarterly performance bonuses. Stock compensation may apply for certain positions.

Primary Location

702 Sw 8Th St, Bentonville, AR 72716, United States of America

Equal Opportunity Employer

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity—unique styles, experiences, identities, abilities, ideas and opinions—while being inclusive of all people.