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(USA) Senior, Data Scientist

Walmart

United States

Remote

USD 90,000 - 234,000

Full time

Today
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Job summary

Walmart seeks a data-savvy professional to tackle business challenges through analytics. This role involves translating complex business problems into data-driven solutions, building scalable analytics products, and ensuring data quality and accessibility. Ideal candidates will possess strong analytical skills, experience in machine learning, and proficiency in data visualization tools.

Benefits

Health benefits including medical, vision, and dental coverage
401(k) and stock purchase options
Paid time off including sick leave and parental leave
Company-paid life insurance
Education benefit program for associates

Qualifications

  • 3 years' experience in analytics required with a Bachelor's degree.
  • Master’s degree with 1 year of experience preferred.
  • 5 years' experience in analytics or related field accepted.

Responsibilities

  • Translate business problems into analytical solutions.
  • Build and evaluate models using machine learning techniques.
  • Create dashboards and visualizations to present insights.

Skills

Machine Learning
Data Visualization
Analytical Thinking
Data Governance
Problem Solving

Education

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, or related field
Master’s degree in related fields

Tools

Python
SQL
R
Tableau
PowerBI
Spark

Job description

Position Summary...

What you'll do...

We are looking for a data-savvy, business-oriented professional to join our team. This role involves translating business challenges into data-driven solutions and building scalable analytics products. Below are the key technical responsibilities and requirements:

1. Business Context and Problem Formulation
  • Translate business problems into analytical solutions
  • Apply suitable tools and methodologies
  • Communicate insights and recommendations clearly
2. 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
3. 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
4. Model Deployment and Assessment
  • Deploy models to production (Good to have); ensure scalability and sustainability
  • Evaluate models using ROC, RMSE, Chi-square, etc.
5. Coding and Testing
  • Write and test code in Python, SQL, R, or similar languages
  • Use appropriate testing methods
6. Data Visualization
  • Create dashboards and visualizations using tools like Tableau, PowerBI, Looker
  • Present insights effectively to technical and non-technical audiences

This is a high-impact role for someone who enjoys solving business problems through data and building robust analytics solutions. If that sounds like you, we’d love to connect!

At Walmart, we offer competitive pay as well as performance-based bonus 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, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

For information about PTO, see https://one.walmart.com/notices.

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. 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.

Locations include Sunnyvale, California US-08479; San Bruno, California US-08848; Bentonville, Arkansas US-09401. The annual salary range for this position is $117,000.00-$234,000.00 in California, and $90,000.00-$180,000.00 in Arkansas. Additional compensation includes performance bonuses, stock options, and other benefits.

Minimum Qualifications

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

  • Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field, plus 3 years' experience in analytics.
  • Option 2: Master’s degree in the same fields, plus 1 year of experience.
  • Option 3: 5 years' experience in analytics or related field.

Preferred Qualifications

Optional qualifications include expertise in data science, machine learning, optimization models, a Master’s degree in related fields, experience with Python, Spark, Scala, R, open source frameworks like scikit-learn, TensorFlow, PyTorch, and knowledge of accessibility standards and inclusive digital experience practices.

Primary Location: 702 Sw 8th St, Bentonville, AR 72716, United States of America.

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