Senior Data Scientist – Real-Time ML for Bidding

Nexxen; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Comprehensive health benefits

Flexible Time Off policy

Matching 401k plan

Commuter Benefits Plan

Job summary

Nexxen is seeking an experienced data scientist to design, implement, and deploy machine learning models for bidding, pacing, KPI prediction and forecasting in a high-scale, real-time environment.

You will analyze large-scale behavioral data with Spark, SQL, and Python, navigate legacy codebases, and collaborate with product managers and engineers to deliver end-to-end solutions. Master’s degree required and strong Python/SQL skills are essential.

Qualifications

• 5+ years of experience in a data science or applied machine learning role.
• Master’s in a quantitative field such as Data Science, Operations Research, Computer Science, Mathematics, Statistics, Industrial Engineering, Mechanical Engineering, Physics, or related field.
• 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.
• Strong programming skills in Python, and SQL.

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; navigate and improve 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

Skills

Python

SQL

Scala

Education

Master’s in a quantitative field

Tools

Spark

XGBoost

Job description

Nexxen is seeking an experienced data scientist to design, implement, and deploy machine learning models for bidding, pacing, KPI prediction and forecasting in a high-scale, real-time environment.

You will analyze large-scale behavioral data with Spark, SQL, and Python, navigate legacy codebases, and collaborate with product managers and engineers to deliver end-to-end solutions. Master’s degree required and strong Python/SQL skills are essential.