Meta · 1 month ago
Data Scientist, Analytics
Austin, TX
Full-time
Onsite
Entry, Mid Level
$224/hr - $279/hr
2+ years expMeta Platforms, Inc. (Meta) is a technology company that builds solutions to help people connect and grow businesses. The Data Scientist, Analytics role involves collecting and analyzing data to inform product development and strategy, partnering with teams to enhance Meta's machine learning infrastructure and applications.
Computer Software
Responsibilities
Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
Partner with Product and Engineering teams to derive quantitative understanding of Meta's ML infrastructure and ML applications to inform future strategy and design ML solutions for complex problems
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Inform, influence, support, and execute our product decisions and product launches
Build ML prototyping solutions
May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure
Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors
Exercise judgment within defined procedures and practices to determine appropriate action
Qualification
Required
Requires a Bachelor's degree (or foreign degree equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or an engineering-related field and 2 years of experience in the job-offered or in a computer-related occupation
Requires 2 years of experience in the following:
Performing quantitative analysis including data mining on highly complex data sets
Data querying language: SOL
Scripting language: Python
Statistical or mathematical software including one of the following: R, SAS, or Matlab
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
Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
Benefits
Has_equity
Has_bonus
Company
Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Kathryn Glickman
Director, CEO Communications
Christine Lu
CTO Business Engineering NA
Recent News
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