Data Scientist I

The Trade Desk

Ventura, CA, US
Base: $85,300 - $156,400 usd; bonus/equity: stock-...
On-site
Deep learning algorithm development
End-to-end product lifecycle ownership
First principles problem solving
The Trade Desk is seeking a Data Scientist I to join their team in Ventura, CA, focusing on developing algorithms to enhance audience targeting for digital advertising. The ideal candidate will possess a strong background in machine learning, data intuition, and effective communication skills, contributing to the team’s collaborative and innovative environment

Job Summary

  • The role involves developing deep learning algorithms to power audience targeting with the goal of helping customers run effective advertising campaigns.
  • Data scientists act as end-to-end owners responsible for designing, researching, building, and delivering data-focused products from ideation to production.
  • The company offers comprehensive benefits including full premium healthcare, a 401k match, stock-based compensation, and up to 160 hours of vacation time annually.

Matching Summary

Match Score: 85

The Trade Desk is seeking a Data Scientist I to join their team in Ventura, CA, focusing on developing algorithms to enhance audience targeting for digital advertising. The ideal candidate will possess a strong background in machine learning, data intuition, and effective communication skills, contributing to the team’s collaborative and innovative environment.

Salary

Base: $85,300 - $156,400 USD; Bonus/Equity: Stock-based compensation grants available; Benefits: Full healthcare, 401k match, tuition reimbursement, parental leave

Skills & Requirements

Must-have

  • Deep learning algorithm development
  • End-to-end product lifecycle ownership
  • First principles problem solving
  • Embedded models in production systems
  • Distributed computing cluster experience

Nice-to-have

  • Generosity and openness culture
  • Cross-functional team leadership
  • Creative thinking and innovation
  • Intellectual curiosity and teaching
  • Agile distributed team collaboration

Key Requirements

  • BS/MS with 4+ years or PhD with 2+ years experience
  • Experience bringing ML products from ideation to production
  • Proficiency in Python, Java, Scala, or R
  • Strong SQL skills required
  • Experience with Spark on EMR or Databricks

Work Rights

Not specified

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