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Job description
Data Scientist, Infrastrategies Responsibilities
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.
Minimum Qualifications
Requires a Master's degree in Computer Science, Economics, 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:
Performing quantitative analysis including data mining on highly complex data sets
Data querying language: SQL
Scripting language: Python
Applied statistics or experimentation, such as A/B testing, in an industry setting
Machine learning techniques
ETL (Extract, Transform, Load) processes
Relational databases
Large-scale data processing infrastructures using distributed systems, AND
Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.
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Worksite address
menlo park, CA, 94029, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.