Data Scientist

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses.
Burlingame, CA, USA
$175,420 - $196,900
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
AI · AR/VR · Social Media
This job posting may no longer be active. You may be interested in these related jobs instead:
Data Engineer, BPE

Data Engineer position at Meta, focusing on data warehousing, ETL, and analytics for large-scale social technology platforms.

Data Engineer

Data Engineer position at Meta focusing on data warehouse management, ETL processes, and analytics infrastructure.

Data Engineer, Product Analytics

Data Engineer role at Meta, working on Product Analytics to optimize growth and user experience for billions of users.

Data Scientist, Product Analytics

Data Scientist role at Meta, shaping product analytics for billions of users across Facebook, Instagram, WhatsApp, and more.

Business Intelligence Engineer, Amazon Warehousing and Distribution

Business Intelligence Engineer role at Amazon's Warehousing and Distribution team, focusing on data analysis, visualization, and pipeline automation.

Description For Data Scientist

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.

As a Data Scientist at Meta, you will:

  • Collect, organize, interpret, and summarize statistical data to contribute to the design and development of Meta products.
  • Apply expertise in quantitative analysis, data mining, and data presentation to understand user interactions with consumer and business products.
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
  • Inform, influence, support, and execute product decisions and product launches.
  • Work on projects in various areas including product operations, exploratory analysis, product influence, and data infrastructure.
  • Handle problems of moderate scope, analyzing situations or data by reviewing various factors.
  • Exercise judgment within defined procedures and practices to determine appropriate actions.

Qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field.
  • Experience with quantitative analysis, data mining, SQL, Python, statistical software (R, SAS, or Matlab), machine learning techniques, ETL processes, relational databases, and quantitative analysis techniques.

Meta offers competitive compensation, including a base salary range of $175,420 to $196,900 per year, plus bonus, equity, and benefits. The company is committed to providing reasonable accommodations and support for candidates with disabilities, long-term conditions, mental health conditions, or religious beliefs, as well as pregnancy-related support.

Join Meta to shape the future of social technology and be part of building experiences that go beyond the constraints of screens, distance, and even the rules of physics.

Last updated 3 months ago

Responsibilities For Data Scientist

  • Collect, organize, interpret, and summarize statistical data for product design and development
  • Apply expertise in quantitative analysis, data mining, and data presentation
  • Partner with Product and Engineering teams to solve problems and identify trends
  • Inform, influence, support, and execute product decisions and launches
  • Work on projects in product operations, exploratory analysis, product influence, and data infrastructure
  • Analyze situations or data by reviewing various factors
  • Exercise judgment within defined procedures to determine appropriate actions

Requirements For Data Scientist

Python
  • Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field
  • Experience with quantitative analysis and data mining on complex data sets
  • Proficiency in SQL
  • Proficiency in Python
  • Experience with statistical or mathematical software (R, SAS, or Matlab)
  • Knowledge of machine learning techniques
  • Understanding of ETL (Extract, Transform, Load) processes
  • Experience with relational databases
  • Skills in quantitative analysis techniques (clustering, regression, pattern recognition, descriptive and inferential statistics)

Benefits For Data Scientist

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
Parental Leave
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401k
  • Equity
  • Parental Leave

Interested in this job?