Data Scientist, Product Analytics - Monetization

3 Months ago • 6-8 Years • Data Analyst • Monetization • $173,000 PA - $242,000 PA

Job Summary

Job Description

As a Monetization focused Data Scientist at Meta, you will have the opportunity to help people and businesses make meaningful connections and build premium services across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world, and change the way they connect and communicate. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Must have:
  • 6 years of work experience in analytics
  • Bachelor's degree in Mathematics, Statistics, or relevant technical field
  • Experience with data querying languages (e.g. SQL)
  • Experience with scripting languages (e.g. Python)
  • Experience with statistical/mathematical software (e.g. R)
Good to have:
  • Masters or Ph.D. Degree in a quantitative field
Perks:
  • bonus
  • equity
  • benefits

Job Details

As a Monetization focused Data Scientist at Meta, you will have the opportunity to help people and businesses make meaningful connections and build premium services across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world, and change the way they connect and communicate. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics - Monetization 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 our products that serve billions of people and hundreds of millions of businesses.
  • 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 your insights and recommendations.
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
Minimum Qualifications
  • 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.
Preferred Qualifications
  • Masters or Ph.D. Degree in a quantitative field.
For those who live in or expect to work from California if hired for this position, please click for additional information.
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About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

$173,000/year to $242,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about at Meta.


Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .

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About The Company

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.


We want to give people the power to build community and bring the world closer together. To do that, we ask that you help create a safe and respectful online space. These community values encourage constructive conversations on this page:


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• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).


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