Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.
Responsibilities
Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources. Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. Partner with Product and Engineering teams to representing key data insights visually in a meaningful way and solve problems and identify trends and opportunities. Inform, influence, support, and execute our product decisions and product launches. Telecommuting from anywhere in the U.S. allowed.
Qualifications
Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, 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 skills: Features, design, and use-case scenarios across a big data ecosystem Custom ETL design, implementation, and maintenance Object-oriented programming languages and querying languages, such as Python and SQL Schema design and dimensional data modeling MapReduce or MPP system Applied statistics or experimentation, such as A/B testing, in an industry setting Statistical or mathematical software Performing quantitative analysis including data mining on highly complex data sets Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics