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Senior Data Scientist
Entertainment & Media Industry Company
Sunnyvale, CA, United States
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Req Id: 1643366
Justification for Hire
Video is a critical component of MaVeNS, which is the go-forward strategy for Yahoo. Analytics is an important driver for Video growth; once we have product/operational metrics easily available, it helps us uncover issues, gain focus, and improve user experience. Our analytics systems already power exec-level KPI reports, and alert us to increases in user-perceived latencies, apart from helping inform product/business decisions like playlists, ad monetization etc.
A Little About Us
Yahoo is a top 3 destination site for video, and video is critical to Yahoo’s success. Our team is responsible for all the Video analytics systems, including reporting and insights. We set standards for instrumentation across all devices, collect the data with high-scale systems, run ETLs on raw data, and make high-quality data available for reports/insights. We also built several systems that process the raw data to provide valuable insights like trending videos etc.
A Lot About You
• You are a data geek. You simplify, process, and generate insights from data.
• You are passionate about the power of data to improve user experience.
• You are curious. You create hypotheses and design experiments to validate them.
• You are a guru on the big data ecosystem: Hadoop, Pig, Hive, Redshift, Looker
• You have a deep interest in writing high quality code.
• You are a team player, and believe in winning as a team.
Your Day
• Design and build analytics pipelines to ETL data for reports/insights.
• Work on cutting-edge technologies like YARN, Hadoop, Pig/Hive, Redshift, Looker etc.
• Review your peers’ work, and help maintain great coding standards
• Own end-to-end delivery of projects/features; coordinate with product/project managers, architects, and peers.
• Mentor junior engineers: review their work, provide feedback, and help them grow
• Come up with cool new ideas to improve Video for 1B Yahoo users!
You Must Have
• A deep understanding of the big data ecosystem: Oozie, Hadoop, Pig/Hive, Redshift etc.
• A good knowledge of data stores like Redshift, Cassandra etc.
• Experience with distributed and real-time systems like Storm, Spark etc.
• A keen eye for system design, and composing systems together to unlock value
• Excellent communication skills and are a great team player
• B.S./M.S./Ph.D. in Computer Science