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Job Description
Nexxen is seeking a self-directed and analytical Senior Data Scientist to join their team in New York City. This role focuses on the core optimization and bidding logic of the Nexxen Demand-Side Platform (DSP). The ideal candidate will work on challenges involving machine learning, large-scale data processing, and ad delivery performance, directly impacting bidding and optimization strategies across real-time programmatic advertising exchanges. The team follows a hybrid schedule, requiring three days a week in the office and the flexibility to work remotely for the remainder.

What this role involves:
  • Designing, implementing, and evaluating machine learning models for bidding, pacing, and KPI prediction.
  • Analyzing large-scale behavioral and performance data using Spark, SQL, and Python.
  • Navigating and improving existing systems within complex, legacy codebases.
  • Collaborating with product managers, engineers, and other data scientists to define problems and deliver end-to-end solutions.
  • Writing clear technical documentation and communicating insights to both technical and non-technical stakeholders.

Requirements:
  • Master's degree in a quantitative field.
  • 2+ years of experience in data science or applied machine learning.
  • Proficiency in applied machine learning techniques, especially tree-based models like XGBoost.
  • Comfort navigating large, complex legacy codebases.
  • 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.
  • Self-directed and able to thrive in a fast-paced environment.

What this role offers:
  • Opportunity to work on cutting-edge machine learning problems in the advertising technology space.
  • Collaborative and innovative work environment.
  • Hybrid work schedule with flexibility.
  • Comprehensive benefits package, including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays.
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