Sr. Data Scientist at Taboola
🇺🇸 United States › California › Los Angeles (Posted Jul 9 2018)
About the company
Taboola helps people find relevant content online, matching them with news stories, articles, blogs, videos, apps, products and other content they’re likely to want to explore.
How do we know what they’ll like? Using machine-learning algorithms, our technology analyzes hundreds of signals to capture exactly what kind of content is most likely to engage each individual. We do that more than 450 billion times a month for more than one billion unique users.
Since we opened our doors in 2006, we have grown to become the leading discovery platform on the open web, serving a combination of the world’s best brands and the most respected global publishers.
Taboola is headquartered in New York City with local offices in Los Angeles, London, Tel Aviv, New Delhi, Bangkok, São Paulo, Beijing, Shanghai, Istanbul, Seoul, Sydney and Tokyo.
Join Taboola's Big Data team as a Sr. Data Scientist!
Read something interesting online to day? There's a good chance it reached you because of our technology.
Taboola is the world's leading content discovery platform, serving 360B recommendations to over 1B unique visitors each month on the web's most innovative publisher sites, including NBC, USA Today, The Weather Channel, Tribune and Fox Sports.
About You: You are a hyper-intelligent Data Scientist with a robust background in a big data environment.
In this Job: You will build complex Data Science solutions for large-scale product initiatives, scaling up to a Petabyte of data.
Design and build predictive customer behavior models for targeting and personalization
Implement Machine Learning and statistics-based algorithms for prediction and optimization, then deliver to production
Build and maintain code to populate HDFS, Hadoop with log from Kafka or data loaded from SQL production systems
Design, build and support algorithms of data transformation, conversion, computation on Hadoop, Spark and other distributed Big Data Systems
Skills & requirements
3+ years of experience as a Data Scientist, preferably in Big Data Environment
2+ years of programming experience in Java/Scala and/or Python
Hadoop stack (HIVE, Pig, Hadoop streaming) and MapReduce
HBase or comparable NoSQL
SQL & database experience
Experience with Google products: Google Cloud Storage, Google Analytics and Google Big Query (a plus)
Bachelor’s degree in quantitative or related field
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