Data Scientist, Analytics
Meta
Data Scientist, Analytics
Job Description
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.
Locations
- Menlo Park, CA, USA
Salary
209,720 - 235,400 USD / yearly
Estimated Salary Rangehigh confidence
160,000 - 240,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate (Data Querying)
- Pythonintermediate (Scripting)
- Rintermediate (Statistical Software)
- Machine Learningintermediate (Data Science)
- ETL Processesintermediate (Data Engineering)
- Quantitative Analysisintermediate (Analytics)
Required Qualifications
- Master's degree (or foreign degree equivalent) (degree in Computer Science, Data Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field)
- Performing quantitative analysis including data mining on highly complex data sets (experience)
- Data querying language: SQL (experience)
- Scripting language: Python (experience)
- Statistical software: R (experience)
- Applied statistics in an industry setting (experience)
- Machine learning techniques (experience)
- ETL (Extract, Transform, Load) processes (experience)
- Relational databases (experience)
- Large-scale data processing infrastructures using distributed systems (experience)
- Quantitative analysis techniques, including one of the following: clustering, regression, and descriptive and inferential statistics (experience)
Responsibilities
- Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.
- 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.
- 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.
- May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
- Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
- Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations (from Meta's website) business acumen: good understanding of business logics and applying data science to solve business problems.
- Work cross functionally and communicating data insights to drive business decisions.
Benefits
- compensation: Base salary $209,720/year to $235,400/year + bonus + equity + benefits
Tags & Categories
Data Scientist, Analytics
Meta
Data Scientist, Analytics
Job Description
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.
Locations
- Menlo Park, CA, USA
Salary
209,720 - 235,400 USD / yearly
Estimated Salary Rangehigh confidence
160,000 - 240,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate (Data Querying)
- Pythonintermediate (Scripting)
- Rintermediate (Statistical Software)
- Machine Learningintermediate (Data Science)
- ETL Processesintermediate (Data Engineering)
- Quantitative Analysisintermediate (Analytics)
Required Qualifications
- Master's degree (or foreign degree equivalent) (degree in Computer Science, Data Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field)
- Performing quantitative analysis including data mining on highly complex data sets (experience)
- Data querying language: SQL (experience)
- Scripting language: Python (experience)
- Statistical software: R (experience)
- Applied statistics in an industry setting (experience)
- Machine learning techniques (experience)
- ETL (Extract, Transform, Load) processes (experience)
- Relational databases (experience)
- Large-scale data processing infrastructures using distributed systems (experience)
- Quantitative analysis techniques, including one of the following: clustering, regression, and descriptive and inferential statistics (experience)
Responsibilities
- Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.
- 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.
- 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.
- May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
- Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
- Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations (from Meta's website) business acumen: good understanding of business logics and applying data science to solve business problems.
- Work cross functionally and communicating data insights to drive business decisions.
Benefits
- compensation: Base salary $209,720/year to $235,400/year + bonus + equity + benefits
Tags & Categories