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Senior Data Scientist, SSP

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Nexxen
Full Time position
Listed on 2025-12-28
Job specializations:
  • IT/Tech
    Data Engineer, Machine Learning/ ML Engineer, Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Senior Data Scientist, SSP

Join to apply for the Senior Data Scientist, SSP role at Nexxen.

This range is provided by Nexxen. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

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 3

Cs - Customer Centric, Curious Mindset, Collaborative with No Ego.

Important Notice from Nexxen:
Your Safety Matters
At Nexxen, we care about the well‑being of our current and future employees. We are aware of the growing number of online scams and fraudulent job postings, and we urge all job seekers to remain vigilant. Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get‑rich‑quick opportunities.

If you receive a suspicious message claiming to be from Nexxen or encounter a questionable job posting associated with our name, please contact us at  to verify its legitimacy. Your trust is important to us. Stay safe and informed.

What You’ll Do
  • 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 (SSP preferred).
  • Experience in Neural Networks, Deep Learning, Tensor Flow, 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.

Benefits: 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.

Seniority level
  • Mid‑Senior level
Employment type
  • Full‑time
Job function
  • Engineering and Information Technology
  • Advertising Services

Referral bonuses are available. For more information, contact the Talent Acquisition team.

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Position Requirements
10+ Years work experience
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