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Data Scientist

**Summary:**

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, WhatsApp, and Novi further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

**Required Skills:**

Data Scientist Responsibilities:

1. Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products

2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights

3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior

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

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

6. Design and implement dashboards and reports that track key business metrics and provide actionable insights

7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups

8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta

9. Telecommute from anywhere in the U.S. permitted (remote work benefit)

**Minimum Qualifications:**

Minimum Qualifications:

10. Master’s degree in Business Analytics, Data Science, Computer Science, or a related field and 24 months of experience in the job offered or in a related occupation. Experience must include 24 months in each of the following:

11. Machine learning techniques

12. ETL (Extract, Transform, Load) processes

13. Relational database (SQL or PL*SQL)

14. Developing in scripting language: PHP, Python, or Perl

15. Statistical analysis using R, MATLAB, SPSS, SAS, or Stata

16. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI

17. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics

18. Communicating and presenting results of data analyses

**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 accommodations-ext@fb.com.

Data Scientist

Full time
Santa Fe, NM

Published on 09/17/2022

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