Back to jobs

Senior Data Scientist

New York, NY · New York, United States

Live, first seen by us 87 days ago
Pay
$160,000–200,000/year · Base — pay source
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
Read the full posting
Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Engineering — team source
Department: Engineering
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
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

What you’ll work on

Full posting
  • 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

From the employer’s posting
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.
Education & alternatives
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.
Apply at Nexxen

Posting record

Report an error
Status in our records
Live
First seen by us
Aug 14, 202687 days ago
Recorded sightings
53
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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.

Nexxen is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

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.

  • Python
  • Scala
  • SQL
  • Spark
  • PySpark
  • XGBoost
Where the posting names them
- 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.

Your next step

Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.

Applying through Ashby

  • No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.

Already applied? Track this application

About Nexxen

People
About 654 in 2024.Benefit plan filings (Form 5500)
Company
Listed as NEXN.
H-1B visas
1 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,139.
August 17Last week

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.

About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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

At Nexxen, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you don’t match this job description perfectly, don’t worry! We would rather see your application than risk missing out on your potential to make an impact.

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

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

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
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
Location & working pattern

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.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.