Netflix

Data Scientist, Games Product

Netflix

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

Python

About the role

  • Drive product innovation through robust measurement strategies across experimentation, modeling, and analytics to shape how our members experience Netflix Games.
  • Establish strong partnerships with stakeholders to shape the vision of a space, whether that is by helping determine a product strategy or define new metrics.
  • Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making.
  • Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs that influence the decisions and direction of member experience.
  • Be flexible to changing circumstances - Netflix Games are evolving rapidly, and this role will help shape what that evolution looks like.

Requirements

  • Advanced degree in Statistics, Mathematics, Computer Science, Economics or related quantitative field.
  • 5+ years of relevant experience focused on building and delivering real-world machine learning models with demonstrated impact.
  • Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settings.
  • Strong Quantitative Programming skills in a language such as Python.
  • Exceptional oral and written communication skills.
  • Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnership with stakeholders.
  • Strong product sense to balance between addressing stakeholder or test-specific needs and investing in scalable solutions to serve general use cases.
  • Ability to work independently and drive your own projects.
  • Embodies Netflix values while bringing a new perspective to continue to improve our culture.
Benefits
  • Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
  • We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.
  • We approach diversity and inclusion seriously and thoughtfully.
  • We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningstatisticsquantitative programmingPythonexperimentation frameworksmeasurement strategiesdata analyticsmodelingproduct analytics
Soft Skills
communicationpartnership buildingproduct visioninnovation strategyindependenceaccountabilityflexibilityownershipstrong product sense
Certifications
advanced degree