Senior Data Scientist

Nexxen Logo

Nexxen

πŸ’΅ $160k-$210k
πŸ“Remote - United States

Summary

Join Nexxen, a global leader in flexible advertising powered by data, and become a Senior Data Scientist. You will be a key contributor to the core optimization and bidding logic of our Demand-Side Platform (DSP), leveraging machine learning and large-scale data processing. Your work will directly impact our bidding strategies and ad delivery performance across real-time programmatic advertising exchanges. This role requires a Master's or Ph.D. in a quantitative field and 5+ years of relevant experience. You will design, implement, and deploy machine learning models, analyze large datasets, collaborate with cross-functional teams, and communicate technical insights effectively. Nexxen offers a competitive salary, comprehensive benefits, and a dynamic work environment.

Requirements

  • 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 β€” able to synthesize technical findings into clear, actionable insights
  • Self-directed, curious, and able to thrive in a fast-paced and evolving industry

Responsibilities

  • 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

Benefits

Medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays

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