Data Scientist

Nexxen

Data Scientist optimizing machine learning models for Nexxen’s real-time programmatic advertising DSP. Analyzing large-scale data and improving bidding, pacing, and KPI prediction.

Posted 9/10/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing machine learning models, with strong proficiency in Python, SQL, and Scala/Apache Spark for data processing. Capable of analyzing complex data sets and communicating insights effectively to diverse stakeholders.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingSQL ProficiencyScala/Apache Spark ExperienceData Analysis and Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning TechniquesClassificationRegressionEvaluation MetricsTree-Based ModelsXGBoostData ProcessingBehavioral Data AnalysisKPI PredictionForecasting

Soft Skills

Strong Communication SkillsSelf-DirectedCuriousAdaptabilityCollaboration

Tools & Technologies

Nexxen Demand-Side PlatformReal-Time Programmatic Advertising ExchangesTechnical Documentation

Industry Keywords

Data ScienceApplied Machine LearningHigh-Scale EnvironmentLegacy CodebasesQuantitative Field

Tech Stack

Tools & technologies

ApachePySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design, implement, evaluate, and help deploy machine learning models for bidding, pacing, KPI prediction, and forecasting
Analyze large-scale behavioral and performance data using Spark, Scala/PySpark, SQL, and Python
Navigate and improve complex legacy codebases
Collaborate with product managers, engineers, and other data scientists to define problems and deliver end-to-end solutions
Write clear, concise technical documentation
Communicate insights effectively to technical and non-technical stakeholders
Work on optimization and bidding logic for the Nexxen Demand-Side Platform
Improve bidding, impression-winning, and optimization performance across real-time programmatic advertising exchanges

Requirements

What you’ll need

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
Proficiency with applied machine learning techniques, including classification, regression, and evaluation metrics
Experience with tree-based models such as XGBoost
Ability to navigate large, complex legacy codebases and propose changes to production systems
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, curious, and able to thrive in a fast-paced and evolving industry
Must be authorized to work in the United States without current or future sponsorship by Nexxen
Must be able to commute to the New York City office at least 3 days per week

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Disability insurance
401(k)
Employee Assistance Program (EAP)
Parental leave
Unlimited vacation
Company-paid holidays
Potential incentive or bonus