Pay
In line with similar jobs
$160K–$200K against $118K–$194K, the middle half of what similar US postings state.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
New York, NY · New York, United States
Live, first seen by us 87 days agoSelf-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-DN1Read the full posting
Location type: HybridFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: EngineeringFrom the employer’s posting
Candidates must be authorized to work in the U.S. without current or future sponsorship by Nexxen. Are you legally authorized to work for ANY employer in the United States?From the employer’s application form
Design, implement, evaluate and deploy ML models for bidding, pacing and KPI prediction
Analyze large-scale behavioral and performance data using Spark, SQL, and Python
Navigate and improve complex, legacy codebases
Collaborate with product managers and engineers to define problems and deliver solutions
Write technical documentation and communicate insights to technical and non-technical stakeholders
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 You'll 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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$160K–$200K against $118K–$194K, the middle half of what similar US postings state.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Day 87
Up longer than most. Similar jobs usually come down between day 7 and day 57.
Well past Nexxen’s usual: its jobs come down by about day 29.
From 10,789 similar postings that came down, and 5 of Nexxen’s. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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 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.
- 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.
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
What You'll Do
We’re looking for a self-directed, analytical, and curious Sr Data Scientist 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:
What you'll Do
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 You'll 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
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Selected passages from the saved posting. Check the full description for conditions and exceptions.
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
New York, United States
We’re looking for a self-directed, analytical, and curious Sr Data Scientist 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:
More relevant text appears in the full description.
No clear work-authorization passage found. Eligibility is unconfirmed.