Data Scientist, Product
Sunnyvale, CA
Meta
Giving people the power to build community and bring the world closer together- Collect, analyze, and interpret statistical data in order to contribute to the design and development of Meta products.
- Partner with Product and Engineering teams to handle dynamic business and regulatory needs.
- Inform, influence, support, and execute our product decisions and launches.
- Work on problems of diverse scope including, but not limited to, product influence, developer experience, and data privacy.
- Ensure coordination of projects across related workflows to maximize impact and avoid overlaps.
- Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging statistical and machine learning techniques.
- Synthesize output of models to create business-relevant conclusions and identify the critical implications.
- Design studies choosing appropriate methods to test hypothesis for product launch.
- Eliminate data bias to make sure data accurately represents the population of interest.
- Design success metrics that measure short and long-term progress for both goal and project performance.
- Set up metric goal to inform team roadmaps and priorities.
- Identify gaps between system components and designs and deliver solutions.
- Appropriately apply advanced procedures to solving complex data visualization problems.
- Requires a Master's degree in Computer Science, Engineering, Industrial Engineering, Operations Research, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2 years of experience in the job offered or a related occupation.
Experience must include 2 years of experience in the following: - 1. Performing quantitative analysis including data mining on highly complex data sets
- 2. Data querying language: SQL
- 3. Scripting language: 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.
Tags: A/B testing Clustering Computer Science Data Mining Data visualization Distributed Systems Engineering ETL Industrial Machine Learning Mathematics Matlab Physics Privacy Python R RDBMS Research SAS SQL Statistics Testing VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.