Data Scientist
Sunnyvale, CA
- Collect, organize, interpret, and summarize statistical data in order to contribute to the continued growth of Meta's infrastructure.
- Apply experience in quantitative analysis and data mining to improve, optimize, and expand Facebook’s infrastructure across a variety of domains with an emphasis on long-term and strategic initiatives.
- Work cross-functionally as a strategic partner to define priorities and develop project roadmaps in synergy with partner teams.
- Build consensus and earn commitment from partners.
- Drive execution through fast iteration.
- Ensure coordination of projects across related workflows to maximize impact and avoid duplication and overlaps.
- Drive efficient data exploration and modeling.
- Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging or developing statistical and machine learning methodologies.
- Generalize methodologies for broader application within and outside domain.
- 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.
- Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 24 months of experience in Job offered or in an analytics-related occupation Foreign equivalent accepted.
Requires two years 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 R, SAS, or Matlab
- 5. Applied statistics or experimentation, including 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 and
- 10. Quantitative analysis techniques, including clustering, regression, or pattern.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly 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 Distributed Systems Engineering ETL Machine Learning Mathematics Matlab Physics Python R RDBMS SAS SQL Statistics Testing VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
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