Data Scientist

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

What You'll Do

We’re looking for a self-directed, analytical, and curious Data Scientist II with 5+ years of hands‑on experience to join our team working on the core optimization and bidding logic of the Nexxen Demand‑Side Platform (DSP). You will work on problems at the intersection of machine learning, large‑scale data processing, and ad delivery performance and your work will directly impact how we bid, win, and optimize impressions across real‑time programmatic advertising exchanges.

This role will be based in the New York City office. Our team follows a hybrid schedule working in‑office three days a week and remotely for the rest.

Each day can be different here at Nexxen, but some of the things you can expect to be doing daily are:

Job Description

• 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.

What Will I Bring?

• 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.

In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $160,000 - $200,000 the time of posting, with the potential of an incentive or bonus. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location.

We offer a variety of benefits, including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays.

• medical
• dental
• vision
• disability insurance
• 401(k)
• EAP
• parental leave
• unlimited vacation
• company-paid holidays

The specific programs and options available will vary depending on the state, start date, and employment type.

Our Talent Acquisition team will be happy to answer any questions you may have.

For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice