Data Scientist
San Francisco, CA
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.Data Scientist Responsibilities
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
- Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Facebook products.
- Apply 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. - Collaborate with Product and
Engineering teams to solve problems and identify trends and opportunities. - Inform, influence, support, and execute our product decisions and product launches.
- Assigned to projects in
various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure. - Work on problems of moderate scope where analysis of
situations or data requires a review of a variety of factors. - Exercise judgment within defined procedures and practices to determine appropriate action.
- Analyze large datasets, interpret
revenue and/or ad pricing trends, and identify actionable insights and opportunities. - Provide deep analytic support and business context to identify and drive critical growth initiatives.
- Collaborate with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses, in order to increase efficiency
of team’s workflows.
- Requires a Master’s degree in Computer Science, Engineering, Information Systems, Analytics, Political Economy, Mathematics, or a related field, and 24 months of experience in the job offered or related occupation. Requires 24 months of experience in the following skills
- 1. Performing quantitative analysis including data mining on highly complex data sets
- 2. Data querying language(s) including SQL
- 3. Scripting language(s) including Python
- 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.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Category:
Data Science Jobs
Tags: A/B testing Clustering Computer Science Data Mining Distributed Systems Engineering ETL Machine Learning Mathematics Matlab Physics Pipelines Python R RDBMS SAS SQL Statistics Testing VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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