Facebook Looking For Data Scientist, Analytics – Facebook for Business at New York, NY Full Time
QualificationsStatisticsQuantitative analysisAnalyticsRegression analysisLeadershipBachelor’s degreeDoctoral degreeMaster’s degree
Our Facebook for Business ( FB4B ) team’s mission is to create economic opportunity by fostering meaningful connections between people and businesses. We build products that make it easier for businesses to connect to prospective customers and easier for customers to find and engage with businesses that they love – all while keeping privacy and user consent top of mind. Our work touches both sides of the ads marketplace, which means that building great products involves understanding what sits at the intersection of advertiser value and user value.We are looking for a strong Data Scientist to be part of our F4B team. Our current products include both ads and monetization products (such as Facebook Stories and Watch monetization, lead generation ads), in particular our business-facing products. You will have the opportunity to build and grow several multi-billion dollar businesses from an early stage.An ideal fit for this role is a Data Scientist with deep technical knowledge and expertise in quantitative analytics (e.g. causal inference, hypothesis testing, prediction modeling, and root-cause analysis), with the ability to turn data into business insights, and excellent communication and leadership skills. This role in particular will involve working with raw event level data on a regular basis. The data scientist must be able to operate autonomously and scope out large analytical projects that deliver impact.
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
Define problems and opportunities in a complex or ambiguous area
Inform, influence, support, and execute our product decisions and product launches
Partner with Product and Engineering teams to solve problems and identify new levers to improve user experience
Monitoring key product metrics, understanding root causes of changes in metrics
Influencing product teams through presentation of data-based recommendations, and clearly communicating state of business, experiment results, etc. to product teams
Bachelors/Masters Degree with 4+ years (or PhD with 2+ years) of experience working within an analytical role
5+ years experience solving analytical problems using quantitative approaches
Experience in SQL, Python, R or other programming languages
Understanding of statistics (e.g., hypothesis testing, statistical inference, regressions, ML systems)
Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product
7+ years of experience working in an analytics organization
Experience building and training statistical models
Experience designing and evaluating complex experiments
Experience working in the advertising industries
Facebook’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we’re building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we’re creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities – we’re just getting started.
Facebook is proud to be an Equal 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook 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.
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
Define problems and opportunities in a complex or ambiguous area
Inform, influence, support, and execute our product decisions and product launches
Partner with Product and Engineering teams to solve problems and identify new levers to improve user experience
Monitoring key product metrics, understanding root causes of changes in metrics
Influencing product teams through presentation of data-based recommendations, and clearly communicating state of business, experiment results, etc. to product teams
Bachelors/Masters Degree with 4+ years (or PhD with 2+ years) of experience working within an analytical role
5+ years experience solving analytical problems using quantitative approaches
Experience in SQL, Python, R or other programming languages
Understanding of statistics (e.g., hypothesis testing, statistical inference, regressions, ML systems)
Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product
7+ years of experience working in an analytics organization
Experience building and training statistical models
Experience designing and evaluating complex experiments
Experience working in the advertising industries
Facebook’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we’re building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we’re creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities – we’re just getting started.
Facebook is proud to be an Equal 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook 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.