Data Scientist, Product Analytics
Meta Platforms, Inc.-
Job Type
Full Time -
Experience
2-4 year -
Salary
£70,000 - £110,000 / Year -
Location
London, UK -
Job Function
-
Industry
Information Technology -
Qualification
Key Skills
Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Job Description
We’re looking for Data Scientists to work on our core and business products (ex. Instagram, Messaging, Growth, Engagement, Ads, AR/VR) to help shape the future of what we build at Facebook. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into real products on a regular basis. The perfect candidate will have a background in a quantitative or technical field, will have experience working with large data sets, and will have some experience in data-driven decision making. You are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product.
Data Scientist, Product Analytics Responsibilities
- 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 solve problems and identify trends and opportunities
- Inform, influence, support, and execute our product decisions and product launches
- The Data Scientist Analytics role has work across the following four areas:
- Product Operations: Forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics
- Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis or to power production systems
- Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results, etc. to product teams and spreading best practices to analytics and product teams
- Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework
Minimum Qualifications
- BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field. Advanced degrees preferred
- Experience performing quantitative analysis
- Data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB)
- Applied statistics or experimentation (i.e. A/B testing) in an industry setting
- Communicating the results of analyses to product or leadership teams to influence the strategy
- Basic understanding of statistical analysis
- Ability to initiate and drive projects to completion with minimal guidance
Preferred Qualifications
- Experience in a consumer technology company
- Experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc.
- Experience with large data sets and distributed computing (Hive/Hadoop) a plus
Company Info.
Meta Platforms, Inc.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, WhatsApp, and Novi further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality.
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IndustryAdvertising,Consumer electronics,Social media Company
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No. of Employees76,000
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Location1 Hacker Way, Menlo Park, CA 94025, USA
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Website
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Jobs Posted
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