Outscal Technologies - New York, NY

posted 8 days ago

Full-time - Mid Level
New York, NY

About the position

As a Data Scientist focused on Product Analytics and Monetization at Meta, you will leverage your analytical skills and technical expertise to influence product strategy and investment decisions. You will work with large and complex data sets to solve challenging problems, collaborate with cross-functional teams, and help shape the experiences of billions of users across Meta's applications. Your role will involve quantitative analysis, experimentation, and data mining to drive product development and improve user engagement.

Responsibilities

  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for products.
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through insights and recommendations.
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Requirements

  • A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.).
  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Nice-to-haves

  • Masters or Ph.D. Degree in a quantitative field.

Benefits

  • Competitive salary ranging from $173,000 to $242,000 per year.
  • Bonus and equity opportunities.
  • Comprehensive health insurance coverage.
  • Paid time off and holidays.
  • Professional development programs.
  • Flexible work arrangements.
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