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

Precision Labs; New York (NY); Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Disability insurance

401(k)

EAP

Parental leave

Unlimited vacation

Company-paid holidays

Job summary

Nexxen seeks a Data Scientist II to join our NYC team, focusing on core optimization and bidding logic for the Nexxen Demand‑Side Platform. You will tackle ML, large-scale data processing, and ad delivery performance to influence how we bid, win, and optimize impressions in real-time exchanges.

The role is based in New York City with a hybrid schedule: in-office three days a week and remote for the rest. You will design and deploy ML models for bidding, analyze data with Spark/SQL/Python, and

Qualifications

• Master’s in a quantitative field such as Data Science, Operations Research, Computer Science, 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. 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

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.

Skills

Python

SQL

Machine learning

Communication

Problem solving

Education

Master's degree in Data Science/related quantitative field

Tools

Spark

PySpark

Scala

Job description

Nexxen seeks a Data Scientist II to join our NYC team, focusing on core optimization and bidding logic for the Nexxen Demand‑Side Platform. You will tackle ML, large-scale data processing, and ad delivery performance to influence how we bid, win, and optimize impressions in real-time exchanges.

The role is based in New York City with a hybrid schedule: in-office three days a week and remote for the rest. You will design and deploy ML models for bidding, analyze data with Spark/SQL/Python, and