Principal, Data Scientist | Personalization (Deep Reinforcement Learning Background)

World's leading retailer focused on helping people save money so they can live better.
$143,000 - $286,000
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · E-Commerce

Description For Principal, Data Scientist | Personalization (Deep Reinforcement Learning Background)

Walmart Global Tech is seeking a Principal Data Scientist for their Personalization team in Sunnyvale to lead AI initiatives and develop algorithmic solutions for personalized recommendations. The role involves implementing cutting-edge ML/AI solutions at scale, working with Product Managers and Technologists to shape the future of retail personalization.

Key responsibilities include:

  • Developing scalable applications using Java, Python, Pyspark, Tensorflow, and PyTorch
  • Creating ML models using Neural Networks, Regression Models, and Gradient Boosting Algorithms
  • Leading innovation in discovery experiences through insights and ML prototypes
  • Collaborating with cross-functional teams to enhance personalization capabilities

Required qualifications:

  • PhD or Masters in Computer Science, Statistics or Mathematics with 5+ years of industry experience
  • Strong background in reinforcement learning, deep Q-learning, and long-term reward optimization
  • Expertise in ML frameworks, data analysis, and large-scale model deployment
  • Experience with MLOps and production environment implementation

The role offers comprehensive benefits including 401(k) match, stock purchase plan, health coverage, paid leave, and performance bonuses. Join a team that's reimagining retail through technology and making an impact on millions of customers worldwide.

Working at Walmart Global Tech means being part of a culture that values collaboration, innovation, and personal growth. The position is based in Sunnyvale, CA, within Silicon Valley's dynamic tech ecosystem.

Last updated 19 hours ago

Responsibilities For Principal, Data Scientist | Personalization (Deep Reinforcement Learning Background)

  • Design and implement high-performance, scalable applications for personalized recommendations
  • Create machine learning models using structured and unstructured data sets
  • Drive innovations in discovery experiences through insights and ML prototypes
  • Collaborate with cross-functional teams to enhance personalization capabilities

Requirements For Principal, Data Scientist | Personalization (Deep Reinforcement Learning Background)

Java
Python
  • PhD or Masters in Computer Science, Statistics or Mathematics with 5+ years of industry experience
  • Strong background in reinforcement learning, deep Q-learning, and long-term reward optimization
  • Proficiency in Java, Python, Pyspark, Tensorflow, and PyTorch
  • Experience in large-scale ML model building and deployment
  • Experience with MLOps framework

Benefits For Principal, Data Scientist | Personalization (Deep Reinforcement Learning Background)

401k
Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
Education Budget
Equity
  • 401k
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Parental Leave
  • Education Budget
  • Equity

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