Data Scientist at Meta

Menlo Park, California, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Jun, 26

Salary

199650.0

Posted On

28 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Analysis, Data Mining, Data Presentation, Data Analysis, Data Pipelines, Machine Learning, SQL, Python, R, SAS, Matlab, A/B Testing, ETL, Distributed Systems, Clustering, Regression

Industry

Software Development

Description

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 Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. Building models of user behaviors for analysis or to power production systems. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. Design and implement dashboards and reports that track key business metrics and provide actionable insights. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. Minimum Qualifications Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Statistics, or a related field Requires completion of a university-level course, research project, or internship involving the following: Performing quantitative analysis including data mining on highly complex data sets Data querying language(s) including SQL Scripting language(s) including Python Statistical or mathematical software including R, SAS, or Matlab Applied statistics or experimentation using 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 clustering, regression, pattern recognition, or descriptive and inferential statistics $190,600/year to $199,650/year + bonus + equity + benefits

Responsibilities

Apply expertise in quantitative analysis, data mining, and data presentation to understand user interaction with products, and mine massive data for business insights. Develop data pipelines with machine-learning systems and build user behavior models to power production systems.