Data Scientist, Population and Survey Sciences
(Menlo Park, CA)
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.
We're looking for data scientists to work on our internal survey, user feedback, and sentiment measurement systems that empower our users to have a voice in Facebook's development every day. As a key member our Population and Survey Sciences team, you will play a leading role in providing innovative and methodologically rigorous research across the company to understand user attitudes and sentiment. With more than a million survey responses daily, your primary focus will be to differentiate the signal from the noise and provide teams with the information and insights they need to make better, more informed product decisions. You will enjoy working with one of the richest data sets in the world to combine attitudinal and behavioral measures to develop sustainable solutions to nagging survey-related methods and data problems.
The perfect candidate will have a background in a quantitative or technical field, will have experience working with large data sets and relational databases, and will have some experience in data-driven decision making. You are focused on results, a self-starter, and have superior computational, analytical and communication skills. This position is based full time in our Menlo Park, CA office.
- Apply your expertise in quantitative analysis and data mining to proactively and continuously monitor the overall quantitative user sentiment ecosystem.
- Exploratory and diagnostic analyses to identify changes to response rates, demographic shifts, and changes in user sentiment.
- Build key data sets to empower operational and exploratory analyses to look for new patterns in user sentiment and relationships with Facebook experiences.
- Generate and test hypotheses to identify root causes of trend changes.
- Partner with Engineering teams to ensure the reliability and sustainability of survey data collection on the Facebook platform.
- Spread best practices for measuring user attitudes and sentiment
- Sampling and bias correction
- Use of tools and infrastructure
- Automate analyses, build dashboards and author pipelines via SQL and python based ETL framework
- 2+ years experience doing quantitative analysis
- BA/BS in Computer Science, Economics, Math, Physics, Statistics or other quantitative field.
- Experience in SQL or other programming languages or working with relational databases
- Development experience in any scripting language (PHP, Python, Perl, etc.)
- Understanding of statistics (e.g., hypothesis testing, regressions).
- Experience manipulating data sets through statistical software (ex. R, SAS) or other methods.
- Experience with the statistical design and analysis of surveys (e.g., sampling, non-response analysis and bias correction).
- Experience with distributed computing (Hive/Hadoop).
- Experience with Natural Language Processing (NLP) or text analysis.
- Familiarity with survey research methods.
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