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Data Scientist, Analytics (PhD)


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 join some of our Analytics teams, including those in charge of News Feed, Video, Search, Monetization and Ads, Sharing, and Product Foundation. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into real products on a regular basis. The perfect candidate will be able to effortlessly apply the expertise gained throughout their PhD to tackle Facebook Product Analytics challenges, and will have experience working with large, complex data sets. You are focused on results, a self-starter, and have demonstrated success in understanding and solving complex problems using analytical techniques.

**Required Skills:**

1. 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

2. Partner with Product and Engineering teams to solve problems and identify trends and opportunities

3. Inform, influence, support, and execute our product decisions and product launches

4. Work across the following four areas:

5. Product Operations

6. Forecasting and setting product team goals

7. Designing and evaluating experiments

8. Monitoring key product metrics, understanding root causes of changes in metrics

9. Building and analyzing dashboards and reports

10. Building key data sets to empower operational and exploratory analysis

11. Evaluating and defining metrics

12. Exploratory Analysis

13. Proposing what to build in the next roadmap

14. Understanding ecosystems, user behaviors, and long-term trends

15. Identifying new levers to help move key metrics

16. Building models of user behaviors for analysis or to power production systems

17. Product Leadership

18. Influencing product teams through presentation of data-based recommendations

19. Communicating state of business, experiment results, etc. to product teams

20. Spreading best practices to analytics and product teams

21. Data Infrastructure

22. Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica

23. Automating analyses and authoring pipelines via SQL and Python-based ETL framework

**Minimum Qualifications:**

24. Currently has, or is in the process of obtaining, a Ph.D. degree in Computer Science, Electrical Engineering, Operations Research, Econometrics, Statistics or related technical field

25. Experience solving analytical problems using quantitative approaches

26. Experience communicating quantitative analysis results

27. Knowledge with relational databases and SQL

28. Development experience in any scripting language (PHP, Python, Perl, etc.)

29. Knowledge of statistics (e.g., hypothesis testing, regressions)

30. Experience manipulating data sets through statistical software (ex. R, SAS) or other methods

31. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

**Preferred Qualifications:**

32. Experience working with distributed computing tools (MapReduce, Hadoop, Hive, etc.)

33. Experience working with large data sets

34. Experience manipulating and analyzing high-volume, high-dimensionality data from varying sources

**Industry:** Internet

**Equal 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

Data Scientist, Analytics (PhD)

Full time
Carson City, NV

Published on 10/27/2021

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