Senior Data Scientist (Demand Side Platform, Adtech)

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. With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. 

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. 

 What you’ll do:

We’re looking for a self-directed, analytical, and curious Senior 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. 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.    

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

• Design, implement, evaluate and help deploy machine learning models for bidding, pacing and KPI prediction (Click, Action, Viewability etc.). 

• Analyze large-scale behavioral and performance data using Spark (Scala/PySpark), SQL, and Python. 

• Deep dive into complex, legacy codebases; you should be comfortable navigating and improving existing systems. 

• Collaborate with product managers, engineers, and other data scientists to define problems and deliver end-to-end solutions. 

• Write clear, concise technical documentation and communicate insights effectively across both technical and non-technical stakeholders. 

What You'll Bring:

• Masters/Ph.D. in a quantitative field such as Operations Research, Mathematics, Statistics, Industrial Engineering, Mechanical Engineering, Physics, or related field. 

• 5+ years of experience in a data science or applied machine learning role, ideally in a high-scale, real-time environment. 

• Proficient with applied machine learning techniques (classification, regression, evaluation metrics, etc.), especially tree-based models like XGBoost. 

• Comfortable navigating large, complex legacy codebases and proposing changes to production systems. 

• Strong programming skills in Python, and SQL.  

• Experience with Scala/Apache Spark for distributed data processing and machine learning at scale. 

• Familiar with Deep Learning using frameworks such as PyTorch/Tensorflow.  

• Strong written and verbal communication skills — able to synthesize technical findings into clear, actionable insights. 

• Self-directed, curious, and able to thrive in a fast-paced and evolving industry.