The opportunity timeline

• Overview

  Netflix is hiring a Data Scientist in El Monte, CA.

• Role description

  We're hiring a Data Scientist who treats latency budgets like personal grudges and Attention to Detail like a second language. Weigh it however you like — the math still lands at $133,000 - $178,000, contract hours, and a team at Netflix worth joining.

  Key Responsibilities

  • Translate the deeply-bought-in Decision Making outage into fixes that make the next El Monte launch dull
  • Guard the dbt codebase quality through reviews that teach as much as they catch
  • Design Large Language Models APIs other El Monte, CA teams will still thank you for next year
  • Bridge Statistical Modeling and Jupyter so the two halves of Netflix's platform finally talk
  • Review pull requests and uphold engineering standards across the technology team

  What You'll Bring

  • Practical Prioritization skills sharpened in a contract setting
  • A communication style that translates jargon back into plain English
  • 7 or more years steering technology projects end to end
  • Enough dbt to be dangerous, enough Data Mining to be trusted
  • The grit to debug at 4pm on a Friday without complaint
  • Experience thriving in a metrics-driven, deadline-driven setting like Netflix

  Run from a single floor in El Monte, CA, Netflix is a self-directed reminder that technology breakthroughs still start small. Every voice in the CA office gets airtime, especially the ones still finding their volume.

  You bring the Large Language Models; we bring $133,000 - $178,000, a mentor, a benefits package, and the freedom to grow on your terms in El Monte.

  This El Monte, CA opening is current, active, and reviewing folks now.

  The next chapter of your career is one application away.

• Required skills

  • Tableau
  • Statistical Modeling
  • Jupyter
  • Pandas
  • dbt
  • Excel
  • MLflow
  • Data Mining
  • Large Language Models
  • Prioritization
  • Decision Making
  • Attention to Detail

• Benefits & perks

  • Internet Reimbursement
  • Discounts on company products
  • Supplemental life insurance
  • Annual salary reviews
  • Recognition Programs
  • Tuition reimbursement
  • LinkedIn Learning access
  • Bike-to-work program

• Apply before 2026-08-14

  Submit your application for this Contract technology position.