Sr Applied Data Scientist - Search And Browse (applied Ml, Nlp, Llms)

Target Corporation

Sunnyvale, CA, US
Base: $98,000.00 - $211,000.00; bonus/equity: not ...
Hybrid/flex for your day
Phd or ms in computer science or related field
3+ years industry experience in machine learning
Strong python and sql coding skills
Target Corporation is seeking a Senior Applied Data Scientist for their Search and Browse team, focusing on developing and managing predictive algorithms to enhance product discovery in e-commerce. The role requires expertise in machine learning, natural language processing, and experience in building scalable systems

Job Summary

  • The role involves developing state-of-the-art predictive algorithms to automate and optimize decisions at scale for Target's Search and Browse teams.
  • Candidates will build scalable ML systems including semantic search, RAG, and conversational AI to improve product discovery across mobile and web platforms.
  • Target offers comprehensive benefits including medical, vision, dental, life insurance, 401(k), and paid time off for eligible team members.

Matching Summary

Match Score: 85

Target Corporation is seeking a Senior Applied Data Scientist for their Search and Browse team, focusing on developing and managing predictive algorithms to enhance product discovery in e-commerce. The role requires expertise in machine learning, natural language processing, and experience in building scalable systems.

Salary

Base: $98,000.00 - $211,000.00; Bonus/Equity: Not specified; Benefits: Comprehensive health, 401(k), employee discount included

Skills & Requirements

Must-have

  • PhD or MS in Computer Science or related field
  • 3+ years industry experience in Machine Learning
  • Strong Python and SQL coding skills
  • Experience with retrieval/ranking systems
  • Hands-on production ML system deployment
  • Knowledge of transformers and GenAI technologies

Nice-to-have

  • Mentoring junior scientists
  • Cross-functional collaboration skills
  • Constant learner mentality
  • Deep retail domain knowledge
  • Strong problem-solving in ambiguous environments

Key Requirements

  • PhD or MS degree required
  • Minimum 3 years of relevant industry experience
  • Hybrid/Flex work arrangement required

Work Rights

Not specified

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