Taboola is one of fastest-growing global tech companies. Taboola empowers hundreds of millions of people and thousands of publishers to personalize the Web. We enable publishers to drive editorial voice and brand safety, while giving consumers the choice to personalize their content discovery experience.
We engage over 1B online users, and deliver more than 300B content recommendations every month! As well as being one of the fastest growing Startups in Israel, we are also growing our global reach, with offices in NY, London, Tel Aviv, LA, Bangkok, New Delhi, Sao Paulo and more.
Taboola’s Engineering Team builds high-scale, web and mobile e-commerce applications that run non-stop around the globe. We work in small collaborative teams to architect massively scalable and reliable systems. As a Sr. Data Scientist at Taboola you will work in our DTLA office with a very talented and tight knit team, utilizing some of the latest technology and tools.
In this role you will;
Identify and propose Data Science solutions for various product initiatives. Design and build predictive customer behavior models for targeting and personalization. Implement the applicable Machine Learning or statistics based algorithm for prediction and optimization and deliver the trained model to production. Present findings to product team and technical team leads in a clear and actionable way. 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
- 5+ years of experience in statistics, data mining and predictive modeling required
- 5+ years of programming experience in Java/Scala and/or Python required
- Experience with Hadoop stack (HIVE, Pig, Hadoop streaming) and MapReduce
- Experience with HBase or comparable NoSQL
- SQL & database experience
- Experience in collecting data from/exposing data to various data sources and services (API, JSON, XML)
- Experience in implementing real-time machine learning and data mining algorithms in large scale environments a big plus
- Experience with Google products especially Google Cloud Storage, Google Analytics and Google Big Query a big plus
- Great communication skills and ability to explain data and analysis to a variety of audiences
- Bachelor’s degree in quantitative or related field
#LI - AM1
What is Taboola: Our Story With an infinite amount of things to read, watch, or listen to surrounding us every day, how do we know where to look first? Taboola’s founder and CEO, Adam Singolda, calls this the “discovery problem.” Search engines may have changed the world by enabling people to find any and all kinds of information. But how can someone discover something new they may like if they don’t already know to look for it? So, what is Taboola? Since our launch in 2007, Taboola’s team of ninja-like engineers and digital media mavens have been building the world’s largest and most advanced discovery platform -- or “search engine in reverse” -- delivering personalized recommendations to over one billion users every month, on many of the web’s most innovative and highly-visited websites. Thousands of leading publishers, marketers, and agencies utilize Taboola’s predictive technology to increase user engagement, monetize their traffic, and distribute their content to engaged audiences across the web. Together, our teams have pioneered a major new marketing channel alongside “search” and “social,” proving that “discovery” can power successful campaigns for companies of all sizes, throughout the customer journey. These days, passionate about bringing “discovery” to more markets around the world, there are over 650 of us “Taboolars” (and growing), connecting people with content they may like but never knew existed, with offices in New York, Los Angeles, London, Tel Aviv, New Delhi, Sao Paulo, Shanghai, Tokyo, and Bangkok.