Data Scientist, Product
Description For Data Scientist, Product
Meta is seeking a Data Scientist, Product to join their team. In this role, you will collect, organize, interpret, and summarize statistical data to contribute to the design and development of Meta products. You'll apply expertise in quantitative analysis, data mining, and data presentation to understand user interactions with both consumer and business products. Partnering with Product and Engineering teams, you'll solve problems, identify trends, and inform product decisions. Key responsibilities include analyzing mobile application data for wearable devices, user onboarding journeys, and working on projects in areas such as product operations, exploratory analysis, and data infrastructure. The ideal candidate will have a strong background in statistics, mathematics, or a related field, with experience in SQL, Python, and statistical software. This role offers an opportunity to work on cutting-edge technologies and shape the future of social connection at Meta.
Responsibilities For Data Scientist, Product
- 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 mobile application data for wearable devices
- Analyze user onboarding journeys in mobile applications
- Exercise judgment within defined procedures and practices
Requirements For Data Scientist, Product
- Bachelor's degree in Statistics, Mathematics, Data Analytics, Data Science, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field
- Experience with data querying language: SQL
- Experience with scripting language: Python
- Experience with statistical or mathematical software (R, SAS, or Matlab)
- Knowledge of applied statistics or experimentation, such as A/B testing, in an industry setting
- Understanding of machine learning techniques
- Experience with ETL (Extract, Transform, Load) processes
- Knowledge of relational databases
- Experience with large-scale data processing infrastructures using distributed systems
- Proficiency in quantitative analysis techniques (clustering, regression, pattern recognition, or descriptive and inferential statistics)
Benefits For Data Scientist, Product
- 401k
- Equity
- Medical Insurance
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