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. 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. #LI-DN1 #LI-Hybrid For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice nexxen.com Important Notice from Nexxen: Your Safety Matters At Nexxen, we care about the well-being of our current and future employees. We are aware of the growing number of online scams and fraudulent job postings, and we urge all job seekers to remain vigilant. Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. If you receive a suspicious message claiming to be from Nexxen or encounter a questionable job posting associated with our name, please contact us at infosec@nexxen.com to verify its legitimacy. Your trust is important to us. Stay safe and informed. Nexxen Fraud Alert and Notice: Protect Yourself from Impersonation and Fraudulent Activity nexxen.com

Requirements

Must-haves

Each day can be different here at Nexxen, but some of the things you can expect to be doing daily are:
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.
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.
For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice https://nexxen.com/applicant-and-candidate-privacy-notice/
Important Notice from Nexxen: Your Safety Matters
Nexxen Fraud Alert and Notice: Protect Yourself from Impersonation and Fraudulent Activity https://nexxen.com/nexxen-fraud-alert-and-notice/

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningrestsqlpythonllm

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave