Data Scientist

Who is Nexxen?

Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform (“DSP”) and supply-side platform (“SSP”), with the Nexxen Data Platform at its core.

Why join the Nexxen team?

With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way – the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego.

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We're looking for a Data Scientist to join our Data team in Tel Aviv.

What You'll Do

• Responsible for the optimization of technologies that are the foundation components of our data platform
• Work closely with engineering and product team in the design and implementation of data-driven algorithms that enhance the performance of our system
• Work with large-scale data and support scientific experiments to improve and validate the algorithm performance
• Own end-to-end workflows—from conducting exploratory research and building and validating machine learning models to deploying production-ready solutions and monitoring performance in real-world environments.
• Developing and using machine-learning techniques, visualizations, and statistical analysis to gain insight into various data sets – some of which are readily available, and some of which we create and curate ourselves
• Help guide teams in researching, designing, simulating, and/or prototyping new algorithmic product features according to business needs
  
  

• Master/Ph.D. in a quantitative field such as Computer Science, Physics, Math, Statistics, or a related discipline
• 5+ years' experience in data science, statistics, machine learning, mathematical optimization or predictive modeling
• Proven coding experience
• Understanding of programming concepts and deploying data science solutions
• Experience with big data modeling work (e.g. Spark)
• Communicate concisely and persuasively with engineers and product managers