Data Scientist

About the role

We’re looking for a self-directed, analytical, and curious Data Scientist II with 2+ 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.

Responsibilities

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

Requirements

• Master’s in a quantitative field such as Data Science, Operations Research, Computer Science, Mathematics, Statistics, Industrial Engineering, Mechanical Engineering, Physics, or related field.
• 3+ years of experience in a data science or applied machine learning role, ideally in a high-scale, real-time environment.

Skills

• 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.
• Bonus: comfortable using LLM-based tools (e.g., Copilot, ChatGPT) to accelerate development, debugging, and documentation.
• Strong programming skills in Python, and SQL.
• Experience with Scala/Apache Spark for distributed data processing and machine learning at scale.
• 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.

Benefits

• Medical, dental, vision, disability insurance
• 401(k)
• EAP
• Parental leave
• Unlimited vacation
• Company-paid holidays

Pay

The minimum and maximum full-time annual base salary for this role is $160,000 - $200,000, with the potential of an incentive or bonus.

Schedule

Our team follows a hybrid schedule working in-office three days a week and remotely for the rest.