Senior Data Scientist, SSP

Department: Engineering

Location: Bellevue

Employment Type: FullTime

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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What you’ll do

You'll develop and deploy groundbreaking data solutions, collaborating with talented engineers and product experts to transform complex problems into elegant solutions. With proven experience in data science, machine learning, statistical modeling, and/or deep learning, you will bring a passion for problem-solving, turning data into actionable insights, and collaboration with supporting teams. Strong programming skills in Python, SQL, Spark, and other data science tools are essential.

Each day can be different here at Nexxen, but some of the things you can expect to be doing are:

• Design and implement scalable data science-based solutions, data processing, and machine learning pipelines

• Optimize models and develop new and scalable methodologies to improve data quality

• Collaborate with other Engineering and Product teams to understand product requirements and create optimal/scalable solutions

• Communicate technical concepts and findings to both technical/non-technical team members

• Write scalable and clean code

What you’ll bring:

• Education in Computer Science / Engineering or a related technical field with 7+ years of overall experience

• 5+ years of work experience in building production-level data science-based solutions

• Ad-Tech vendor experience required (SSP preferred)

• Experience in Neural Networks, Deep Learning, TensorFlow, and/or PyTorch

• Experience with Spark and SQL

• Significant experience with Python and machine learning packages (e.g., sklearn, keras)

• Experience in implementing machine learning pipelines

• Creative problem-solving and analytical skills with experience in statistical analysis and hypothesis testing.

• Excellent verbal and written communication skills to present complex data findings to technical and non-technical stakeholders

What we would like to see:

• MS/PhD in Computer Science / Engineering or a related technical field

• Experience with latency-sensitive scalable machine learning models

• Supply Side Platform (SSP) Ad Tech experience

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.

In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $160,000 -210,000 the time of posting, with the potential of an incentive or bonusWhile 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.

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