Facebook Data Scientist, Analytics in Menlo Park, California


Over 800 million people use Instagram, which means jobs here offer countless ways to make an impact in a fast growing organization. Instagram was built to strengthen relationships through shared experiences. Our app has played a critical part in forming meaningful communities where people can connect with each other and share what matters most to them.


We’re looking for Data Scientists to work on our core and business products across Instagram, who are passionate about using data to help drive informed product decisions for the company. 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 have a background in a quantitative or technical field, will have experience working with large data sets, and will have some experience in data-driven decision making. You are focused on results, a self-starter, and have demonstrated success for using analytics to drive the understanding, growth, and success of a product.

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. The Data Scientist Analytics role has 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:

  1. 5+ years of experience doing quantitative analysis.

  2. BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field. Advanced degrees.

  3. Experience in SQL or other programming languages.

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

  5. Ability to communicate the results of analyses.

  6. Understanding of statistics (e.g., hypothesis testing, regressions).

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

Preferred Qualifications:

  1. Experience with distributed computing (Hive/Hadoop)

Industry: Internet

Equal Opportunity: As part of our dedication to the diversity of our workforce, Facebook is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com or you may call us at 1+650-308-7837.