Staff Data Scientist

Warner Bros. Discovery

2 Locations
Base: $145,600.00 - $270,400.00 py; bonus/equity: ...
Not specified
Phd or ms in machine learning or data science
3+ years hands-on ml experience with phd
Proficiency in python and ml frameworks
Warner Bros. Discovery is seeking a Staff Data Scientist to develop and deploy machine learning solutions to drive consumer growth, focusing on areas like fraud detection and pricing optimization. The ideal candidate will possess strong technical skills in machine learning, mentorship experience, and the ability to collaborate cross-functionally

Job Summary

  • This role involves building complete ML pipelines from data processing to model deployment in production environments.
  • The successful candidate will act as a mentor to junior scientists and collaborate cross-functionally with product and engineering teams.
  • Warner Bros. Discovery offers career-defining opportunities, thoughtfully curated benefits, and tools to explore and grow into your best selves.

Matching Summary

Match Score: 85

Warner Bros. Discovery is seeking a Staff Data Scientist to develop and deploy machine learning solutions to drive consumer growth, focusing on areas like fraud detection and pricing optimization. The ideal candidate will possess strong technical skills in machine learning, mentorship experience, and the ability to collaborate cross-functionally.

Salary

Base: $145,600.00 - $270,400.00 per year; Bonus/Equity: Annual bonuses, short- and long-term incentives; Benefits: Health insurance, wellness program, retirement savings plan, paid time off

Skills & Requirements

Must-have

  • PhD or MS in Machine Learning or Data Science
  • 3+ years hands-on ML experience with PhD
  • Proficiency in Python and ML frameworks
  • Experience deploying ML models to production
  • Strong SQL and large-scale data processing skills

Nice-to-have

  • Experience in consumer-facing applications
  • Familiarity with distributed computing systems
  • Publications in top-tier ML venues
  • Open-source project contributions
  • Mentorship of junior data scientists

Key Requirements

  • PhD/MS in Machine Learning, Data Science, or related field
  • 3+ years (PhD) or 5+ years (MS) of hands-on ML experience
  • Proven track record deploying ML models to production

Work Rights

Not specified

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