Data Scientist, lnfrastrategies (MPKDS7)
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 workfiows 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 Masters degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in the job offered or in a computer-related occupation.
- Requires two 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 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.
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 Health care Salary bonus
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