Senior Data Scientist
@ Walmart

Sunnyvale, California, United States
On Site
Full Time
Posted 5 days ago

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Job Details

Senior Data Scientist at Walmart

This role involves performing advanced data visualizations, developing and optimizing machine learning models, and translating complex business requirements into actionable data solutions.

What You'll Do

  • Create visualizations using Python, R, Tableau, PowerBI, and more.
  • Develop, test, and fine-tune machine learning models such as XGBoost, random forest, and neural networks.
  • Perform exploratory data analysis including statistical testing and hypothesis validation.
  • Collaborate with UX/UI teams to integrate data representations in front-end applications.
  • Mentor junior associates on visualization storytelling and techniques.

Business & Technical Responsibilities

Translate business requirements into data projects and provide recommendations that drive ROI and cost savings. Use advanced statistical methods, feature engineering, and numerical optimization techniques to solve complex problems.

Educational & Experience Requirements

Master's degree in Data Science, Computer Science, Statistics or related field with 1 year experience; OR Bachelor's degree with 3 years experience in analytics.

Skills & Tools

  • Production level Python coding and Spark-ML
  • SQL and data processing
  • Advanced visualization tools: Matplotlib, Seaborn, Streamlit
  • ML experiment tracking tools: MLflow
  • Cloud platforms for data processing and storage

Compensation & Benefits

Salary ranges from $144,075 to $234,000 per year with performance incentives, stock equity, and comprehensive health and financial benefits.

Key skills/competency

  • Data Visualization
  • Machine Learning
  • Python
  • SQL
  • Statistical Analysis
  • Cloud Computing
  • Feature Engineering
  • Business Analytics
  • Data Experimentation
  • Mentorship

How to Get Hired at Walmart

🎯 Tips for Getting Hired

  • Research Walmart's culture: Study their mission, values, and news.
  • Tailor your resume: Emphasize data science and visualization skills.
  • Highlight technical expertise: Showcase Python, SQL, and ML projects.
  • Prepare for interviews: Practice both technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding challenges.
Study advanced ML algorithms.
Practice SQL and data processing.
Experiment with visualization tools.

Behavioral Questions

Describe teamwork experience in data projects.
Explain a time you influenced stakeholders.
Detail how you mentor junior team members.
Discuss handling complex project challenges.

Frequently Asked Questions