Data Scientist, Analytics

Apply technical skills, analytical mindset, and product intuition to one of the richest data sets in the world. 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. Use data and analysis to identify and solve product development's biggest challenges. Influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Facebook. Help partner teams prioritize what to build, set goals, and understand their product's ecosystem. Guide teams using data and insights. Focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Mathematics, Economics, Statistics or related field, and 2 years of experience in the job offered or related occupation.

Requires 2 years of experience in the following:

Access and extract data from relational databases (SQL) for analyses;

Extract and process data for analyses using large scale data processing infrastructures using distributed systems, such as Hadoop, Hive, or MapReduce;

Develop reproducible scripts and statistical analyses using Python when advanced techniques are required;

Apply machine learning techniques such as clustering, regression, pattern recognition, or descriptive and inferential statistics;

Apply statistical techniques to create and analyze A/B tests, including how to properly set up A/B tests and how to determine statistical significance of results; and

Communicate and present results of data analyses to influence team and company strategy.