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Nexxen is seeking a Senior Data Scientist to join our team in New York City, focused on core optimization and bidding logic for our DSP. This role combines machine learning, large-scale data processing, and ad-delivery performance to influence bidding, win rates, and impression optimization in real time.
The ideal candidate has 5+ years in data science or applied ML, strong Python/SQL skills, and experience with Spark/Scala.
We’re looking for a self-directed, analytical, and curious Sr Data Scientist with 5+ years of hands-on experience to join our team working on the core optimization and bidding logic of the Nexxen Demand-Side Platform (DSP). You will work on problems at the intersection of machine learning, large-scale data processing, and ad delivery performance and your work will directly impact how we bid, win, and optimize impressions across real-time programmatic advertising exchanges.
This role will be based in the New York City office. Our team follows a hybrid schedule working in-office three days a week and remotely for the rest.
In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $160,000 - $200,000 the time of posting, with the potential of an incentive or bonus. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits, including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have.
At Nexxen, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you don't match this job description perfectly, don't worry! We would rather see your application than risk missing out on your potential to make an impact.
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