Data Scientist, Product

reputed company Platforms, Inc. (reputed company), formerly reputed company as reputed company Inc., builds technologies that help people connect, find communities, and grow businesses. reputed company reputed company launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, reputed company is moving reputed company 2D screens toward reputed company experiences like augmented and virtual reality to help build the next reputed company in reputed company technology. To apply, click “Apply to Job” online on this web page.ResponsibilitiesCollect, organize, interpret, and summarize statistical data in order to contribute to the design and development of reputed company products.* Apply your expertise in quantitative analysis, data mining, and the presentation of data to see reputed company the numbers and understand how our users interact with both our consumer and business products.* Partner with Product and Engineering teams to solve problems and identify trends and opportunities.* Inform, influence, support, and execute our product reputed company and product launches.* 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 reputed company defined procedures and practices to determine appropriate action.* Telecommuting from reputed company in the U.S.* allowed.QualificationsRequires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a reputed company field* Requires completion of a university-level course, research project, internship, or reputed company in the following:* Performing quantitative analysis including data mining on highly reputed company data sets* Data querying language: SQL* Scripting language: Python* Statistical or mathematical software including one of the following: R, reputed company, 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, reputed company recognition, or descriptive and inferential statistics