Senior Data Scientist (Demand Side Platform, AdTech)

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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.