Data Scientist, Infrastrategies
Menlo Park, 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 Meta’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 one year of work experience in the job offered or in a computer-related occupation.
Requires one year of experience in the following: - 1. Performing quantitative analysis: data mining on highly complex data sets
- 2. Data querying language: SQL
- 3. Scripting language: Python
- 4. Applied statistics or experimentation, such as A/B testing, in an industry setting
- 5. ETL (Extract, Transform, Load) processes
- 6. Relational databases.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Computer Science Data Mining Engineering ETL Machine Learning Mathematics Physics Python RDBMS SQL Statistics Testing VR
Perks/benefits: Career development Equity Health care Salary bonus
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