Data Scientist

Data Scientist

01 Jun 2022
New Jersey, Trenton, 08601 Trenton USA

Data Scientist

Summary: Want to apply your passion for data to help small businesses thrive? Join the Small Business Group (SBG) at Meta! You will directly contribute to our mission of helping small businesses connect with their customers and grow through solutions like pages, advertising, and offers. Together, we succeed when small businesses succeed.Our team collects and analyzes survey and behavioral datasets to understand new challenges, solve problems, and shape decisions. Our research covers a wide range of topics: understanding customer profiles, assessing their needs, pain points and overall experience, providing recommendations for product strategy, marketing and sales teams, evaluating the economic and social impact, improving survey science and causal measurement methods, and brand sentiment. To tackle these topics, our interdisciplinary team have expertise in statistical inference, survey methodology, causal inference and econometrics, regression modeling, exploratory data analysis, and psychometrics, among other areas. If you are a quantitative social scientist with experience answering complex research questions, consider joining us in our mission. In this role, you’ll own all aspects of the research process, including navigating trade-offs when designing projects, proposing appropriate methodologies, analyzing data, and communicating results to diverse audiences to drive impactful decisions. You will have the opportunity to learn new methodologies and how to glean insights from big data.Required Skills: Data Scientist Responsibilities:Develop a research agenda and drive research projects from end-to-end

Combine massive amounts of structured data with scaled off-platform data via surveys to understand how our customers interact with our product and service offerings

Proactively identify opportunities to improve the experience of businesses on the Meta family of apps using research methods

Collaborate with cross-functional teams across the company to define relevant research questions and identify areas for impact

Design and deploy appropriate research methodologies to answer those questions

Develop innovative approaches to solve challenging problems

Provide teams with usable measurement strategies and methodologies to improve decisions

Effectively communicate insights and recommendations clearly to relevant audiences

Frequently and effectively switch between execution and strategy

Minimum Qualifications: Minimum Qualifications:Experience designing original research to address complex social questions

Experience initiating and driving research projects to completion with minimal guidance

Experience communicating analyses and results to both technical and non-technical audiences

Master’s in the social sciences (e.g., Economics, Political Science, Sociology, Psychology, Human-Computer Interaction), or in a quantitative field (e.g., Statistics, Informatics, Econometrics)

Skilled in at least three of the following: statistical inference, survey methodology, regression modeling, exploratory data analysis, and experimental design

Experience with statistical analysis, programming and querying languages (e.g., R/Stata, Python, SQL/Hive)

Preferred Qualifications: Preferred Qualifications:Ph.D. in the social sciences (e.g., Economics, Political Science, Sociology, Psychology, Communication, Human-Computer Interaction), or in a quantitative field (e.g., Statistics, Informatics, Econometrics) with experience answering social questions

Experience with large data sets and distributed computing (Hive/Hadoop)

Experience with primary data collection

Experience with survey sampling and weighting

Experience with observational causal inference (e.g., regression adjustment, matching, propensity score stratification), or quasi-experimental methods (e.g., instrumental variables, regression discontinuity, interrupted time series)

Familiarity with Bayesian statistical models

Familiarity with qualitative research (e.g., focus groups, interviews, cognitive walkthroughs)

Industry: InternetEqual Opportunity: 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

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