
Data Scientist, Analytics
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. 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, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
A minimum of 2 years of work experience in analytics (minimum of 1 year with a Ph.D.)
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Masters or Ph.D. Degree in a quantitative field a plus
Python
R
Data querying skills
Analytical skills (data driven)
Effective Time Management
Verbal communication
Prioritizing skills
written communication
Self-Motivated
Adaptability
Problem-Solving
Detail Oriented and Organized
Multi tasker
According to JobzMall, the average salary range for a Data Scientist, Analytics in 300 W 6th St, Austin, TX 78701, USA is $78,816 - $130,402.
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Facebook, Inc. is an American social media and technology company based in Menlo Park, California. Facebook is one of the world's most valuable companies. It is considered one of the Big Five technology companies along with Microsoft, Amazon, Apple, and Google. Facebook offers other products and services. It acquired Instagram, WhatsApp, and Oculus, and independently developed Facebook Messenger, Facebook Watch, and Facebook Portal.

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