Staff Data Scientist

Walmart

Sunnyvale, CA, United States
$171,337pyear to $286,000pyear; bonus/equity: annu...
Machine learning models and algorithms
Large scale ecommerce datasets
Distributed computing platforms
Research, innovate, and develop cutting-edge machine learning models and algorithms with high-dimensional, complicated unstructured and structured data

Job Summary

  • Research, innovate, and develop cutting-edge machine learning models and algorithms with high-dimensional, complicated unstructured and structured data.
  • Build end to end systems and solutions to optimize personalized products performance for online customers and deploy the solutions at scale.
  • At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet.

Matching Summary

Research, innovate, and develop cutting-edge machine learning models and algorithms with high-dimensional, complicated unstructured and structured data.

Salary

$171,337/year to $286,000/year; Bonus/Equity: annual or quarterly performance incentives; Benefits: medical, vision, dental, 401(k), stock purchase, company-paid life insurance, PTO, parental leave, family care leave, bereavement, jury duty, voting, short-term and long-term disability, education assistance

Skills & Requirements

Must-have

  • Machine learning models and algorithms
  • Large scale eCommerce datasets
  • Distributed computing platforms
  • Feature extraction algorithms
  • Deep learning models
  • End to end systems and solutions
  • Data visualizations and dashboards

Nice-to-have

  • Collaborative work with leadership
  • Continuous improvement of models
  • Safe and productive work environment

Key Requirements

  • Bachelor's degree or equivalent and 4 years of experience
  • Master's degree or equivalent and 2 years of experience
  • Experience with Machine Learning techniques
  • Experience building data models using Python, Pyspark, and R
  • Experience with distributed computing
  • Experience building large and complex deep learning models
  • Experience implementing deep learning models
  • Experience designing and developing end-to-end production pipelines
  • Experience using cloud services
  • Experience with statistical libraries
  • Experience with time series forecasting
  • Experience with sample size determination
  • Experience with A/B test and causal inference
  • Experience with exploratory data analysis
  • Experience writing SQL queries
  • Experience generating business insights
  • Experience creating data visualizations

Work Rights

Not specified

Tailored Resume

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