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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, Analytics Responsibilities:

1. Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Facebook users interact with our consumer and business products. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. Inform, influence, support, and execute our product decisions and product launches. Work across the following four areas: Product Operations: Forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics. Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis or to power production systems. Product Leadership: influencing product teams through presentation of databased recommendations, communicating state of business, experiment results, etc. to product teams and spreading best practices to analytics and product teams. Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework.

Minimum Qualifications:

Minimum Qualifications:

2. Requires Master's degree in Statistics, Mathematics, Data Analytics, Business Analytics, or a related field. Foreign degree equivalent accepted.

3. Requires 2 years of work experience in job offered or in a data science-related occupation.

4. Experience must include 24 months of experience involving following:

5. 1. Machine learning techniques
6. 2. Working with large data sets and network-based data (TCP or HTTP)
7. 3. ETL (Extract, Transform, Load) processes
8. 4. Relational database (SQL or PL*SQL)
9. 5. Developing in Python
10. 6. Statistical analysis using R
11. 7. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
12. 8. Quantitative analysis techniques: clustering, regression, pattern recognition, and descriptive and inferential statistics
13. 9. Communicating and presenting results of data analyses.

Public Compensation:

$179,551/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 accommodations-ext@fb.com.