Data Scientist I

GumGum

Santa Monica, United States
Base: $128,000-$130,000 annually; bonus/equity: bo...
Hybrid (2 days in-office, 3 days remote)
Machine learning and deep learning models
Python and ml/dl libraries
Sql and spark
GumGum is seeking a Data Scientist I to join their team in Santa Monica, where the role focuses on analyzing large datasets and developing machine learning and AI solutions for advertising technology. The ideal candidate should possess a quantitative degree and relevant experience in data-driven roles, with strong analytical skills and proficiency in programming languages like Python

Job Summary

  • Supports statistical analyses and development of ML, DL, and AI solutions to improve ad relevance and value.
  • Partners with Engineering and senior Data Scientists to develop, test, and deploy ML and DL models, and contributes to production AI systems.
  • Develops and deploys agentic pipelines and LLM-powered applications, and continuously expands statistical and AI foundations.

Matching Summary

Match Score: 85

GumGum is seeking a Data Scientist I to join their team in Santa Monica, where the role focuses on analyzing large datasets and developing machine learning and AI solutions for advertising technology. The ideal candidate should possess a quantitative degree and relevant experience in data-driven roles, with strong analytical skills and proficiency in programming languages like Python.

Salary

Base: $128,000-$130,000 annually; Bonus/Equity: Bonus, commission, or stock incentive program (depending on role); Benefits: Employer-matched 401(k), benefits, recognition, development, and wellness

Skills & Requirements

Must-have

  • Machine Learning and Deep Learning models
  • Python and ML/DL libraries
  • SQL and Spark
  • A/B testing and experimental design
  • LLM prompting and agentic pipelines

Nice-to-have

  • Curious and data-driven mindset
  • Understanding of advertising domain
  • Collaboration with Engineering and Product teams
  • Knowledge of RAG and LangChain frameworks

Key Requirements

  • Bachelor’s degree in a quantitative field
  • 1–2+ years in a data-driven role
  • Proficiency in Python
  • Dependable SQL skills
  • Exposure to cloud environments

Work Rights

Not specified

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