Data Masked
Data Scientist, Product Analytics - Monetization
Data Masked, Menlo Park, California, United States, 94029
Data Scientist, Product Analytics - Monetization
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.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).Preferred Qualifications:
Masters or Ph.D. Degree in a quantitative field.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.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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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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.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).Preferred Qualifications:
Masters or Ph.D. Degree in a quantitative field.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.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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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