Data Scientist, Product

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses.
$175,420 - $196,900
Data
Mid-Level Software Engineer
Contact Company
5,000+ Employees
AI · Enterprise SaaS · Social Media

Description For Data Scientist, Product

Meta is seeking a Data Scientist, Product to join their team. This role involves collecting, organizing, interpreting, and summarizing statistical data to contribute to the design and development of Meta products. The ideal candidate will apply expertise in quantitative analysis, data mining, and data presentation to understand user interactions with both consumer and business products. Key responsibilities include partnering with Product and Engineering teams, informing product decisions, working on diverse projects, analyzing user behaviors in feature experiments, creating complex dashboards, and providing guidance on data best practices. The position requires a Master's degree in a relevant field and experience with various data analysis tools and techniques. Meta offers a competitive salary range of $175,420 to $196,900 per year, plus bonus, equity, and benefits. The company is committed to providing reasonable accommodations and equal employment opportunities.

Last updated 3 months ago

Responsibilities For Data Scientist, Product

  • Collect, organize, interpret, and summarize statistical data
  • Apply expertise in quantitative analysis and data mining
  • Partner with Product and Engineering teams
  • Inform and influence product decisions and launches
  • Work on diverse projects in product operations, exploratory analysis, and data infrastructure
  • Analyze user behaviors in feature experiments
  • Create complex dashboards for tracking business goals
  • Provide guidance on data best practices

Requirements For Data Scientist, Product

Python
  • Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or related field
  • Experience with data mining on complex data sets
  • Proficiency in SQL
  • Proficiency in Python
  • Experience with statistical software (R, SAS, or Matlab)
  • Knowledge of applied statistics and A/B testing
  • Experience with machine learning techniques
  • Understanding of ETL processes
  • Experience with relational databases
  • Knowledge of large-scale data processing infrastructures
  • Experience with quantitative analysis techniques

Benefits For Data Scientist, Product

Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • Bonus
  • Equity
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance

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