- 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 two (2) years of experience in the job offered or related occupation.
- Requires 2 years of experience in the following:
- 1. Access and extract data from relational databases (SQL) for analyses
- 2. Extract and process data for analyses using large scale data processing infrastructures using distributed systems, such as Hadoop, Hive, or MapReduce
- 3. Develop reproducible scripts and statistical analyses using Python when advanced techniques are required
- 4. Apply machine learning techniques such as clustering, regression, pattern recognition, or descriptive and inferential statistics
- 5. 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
- 6. Communicate and present results of data analyses to influence team and company strategy.
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