Data Scientist, Product

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, and WhatsApp 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, Product Responsibilities:

1. Collect, analyze, and interpret statistical data in order to contribute to the design and development of Meta products.

2. 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.

3. Partner with Product and Engineering teams to handle dynamic business and regulatory needs.

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

5. Work on problems of diverse scope including, but not limited to, product influence, developer experience, and data privacy.

6. Ensure coordination of projects across related workflows to maximize impact and avoid overlaps.

7. Demonstrate good judgment in selecting methods for obtaining solutions.

8. Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging statistical and machine learning techniques.

9. Synthesizes output of models to create business-relevant conclusions and identify the critical implications.

10. Design studies choosing appropriate methods to test hypothesis for product launch.

11. Eliminate data bias to make sure data accurately represents the population of interest.

12. Design success metrics that measure short and long-term progress for both goal and project performance.

13. Set up metric goal to inform team roadmaps and priorities.

14. Identify gaps between system components and designs and deliver solutions.

15. Appropriately apply advanced procedures to solving complex data visualization problems.

Minimum Qualifications:

Minimum Qualifications

1. Requires a Master's degree in Computer Science, Engineering, Industrial Engineering, Operations Research, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2 years of experience in the job offered or a related occupation. Requires 2 years of experience in each of the following:

2. 1. Performing quantitative analysis including data mining on highly complex data sets
3. 1. Data querying language: SQL
4. 1. Scripting language: Python
5. 1. Statistical or mathematical software including one of the following: R, SAS, or Matlab
6. 1. Applied statistics or experimentation, such as A/B testing, in an industry setting
7. 1. Machine learning techniques
8. 1. ETL (Extract, Transform, Load) processes
9. 1. Relational databases
10. 1. Large-scale data processing infrastructures using distributed systems
11. 1. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.

Public Compensation:

$175,457/year to $196,900/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta 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 ~~~.