Senior ML Data Scientist - Real-Time Bidding (Hybrid NYC)

Nexxen; New York (NY); Hybrid; USD 160.000 - 200.000; Vollzeit

Benefits dieser Stelle

Medical insurance

Dental insurance

Vision

Disability insurance

401(k)

Unlimited vacation

Company-paid holidays

Zusammenfassung

Nexxen is seeking a Senior Data Scientist to join our team in New York City, focused on core optimization and bidding logic for our DSP. This role combines machine learning, large-scale data processing, and ad-delivery performance to influence bidding, win rates, and impression optimization in real time.

The ideal candidate has 5+ years in data science or applied ML, strong Python/SQL skills, and experience with Spark/Scala.

Qualifikationen

• Master’s degree in a quantitative field or related discipline.
• 5+ years of hands-on data science or ML experience, preferably in real-time/high-scale environments.
• Proficient with applied ML techniques and tree-based models (e.g., XGBoost).
• Strong skills in Python and SQL; capable of navigating large legacy codebases; comfortable with production changes.

Aufgaben

• Design, implement, and evaluate ML models for bidding, pacing, KPI prediction, and forecasting.
• Analyze large-scale data using Spark, SQL, and Python to derive actionable insights.
• Navigate and improve complex legacy codebases and production systems.
• Collaborate with product managers and engineers to deliver end-to-end data solutions.
• Create clear technical documentation and communicate findings to diverse stakeholders.

Kenntnisse

Python

SQL

Spark/Scala

XGBoost

Ausbildung

Master’s degree in Data Science/related quantitative field

Tools

Copilot

ChatGPT

Jobbeschreibung

Nexxen is seeking a Senior Data Scientist to join our team in New York City, focused on core optimization and bidding logic for our DSP. This role combines machine learning, large-scale data processing, and ad-delivery performance to influence bidding, win rates, and impression optimization in real time.

The ideal candidate has 5+ years in data science or applied ML, strong Python/SQL skills, and experience with Spark/Scala.