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:
Utilize advanced knowledge of statistics, data mining, business intelligence, Hadoop, Hive, SQL, Excel and MicroStrategy to drive efficient analytics and reporting.
Will analyze data and statistical results to identify actionable insights, suggest recommendations and influence the direction of Meta's product decisions and product launches by effectively communicating results to cross functional groups, including Online Ops, Product, and Engineering teams.
Will leverage data to provide insights about user behavior and to inform business decisions.
These business recommendations will be based on data mining on large, complex data sets and applying concepts in number theory, computational theory, data structures and algorithms.
They will predict and understand user patterns through analytical and statistical metric analysis.
They will apply quantitative skills in predictive modeling, statistical analysis, A/B tests, regression models, and machine learning to gather data insights.
Minimum Qualifications:
Minimum Qualifications:
Requires a Master's degree in Computer Science, Engineering, Statistics, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
Requires completion of a university-level course, research project, internship, or thesis in the following:
1. Performing quantitative analysis including data mining on highly complex data sets
2. Data querying language: SQL
3. Reporting using Hadoop, Hive, or MicroStrategy
4. Statistical or mathematical software including one of the following: R, SAS, or Matlab
5. Applied statistics or experimentation, such as A/B testing, in an industry setting
6. Machine learning techniques
7. ETL (Extract, Transform, Load) processes
8. Relational databases
9. Large-scale data processing infrastructures using distributed systems
10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
Public Compensation:
$209,720/year to $235,400/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.
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