Senior Data Scientist — ML Pipelines & Impact (Hybrid)

Nexxen International; Bellevue (WA); Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Disability insurance

401(k)

Parental leave

Unlimited vacation

Company-paid holidays

EAP

Job summary

Nexxen International is seeking a data science leader to develop and deploy data-driven solutions. You will collaborate with data science teammates, engineers, and product experts to deliver impactful outcomes for the company.

The role emphasizes Python/SQL proficiency, ML pipelines, and scalable, clean code within a hybrid work setting based in Bellevue or New York.

Qualifications

• 6+ years of overall experience in data science or related field.
• 2+ years of work experience in creating data science-based solutions.
• Strong programming skills in Python, SQL, and other data science tools.
• Experience with machine learning pipelines and scalable solutions.

Responsibilities

• Develop and deploy groundbreaking data-based solutions to complex problems.
• Collaborate with data science teammates, engineers and product experts to produce solutions with direct impact on company performance.
• Design and implement scalable data science-based solutions, data processing, and machine learning pipelines. Write scalable and clean code.

Skills

Problem solving

Analytical thinking

Communication

Collaboration

Education

MS/PhD in Computer Science or related field

Tools

Python

SQL

TensorFlow

PyTorch

Spark/PySpark

scikit-learn (sklearn)

Keras

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.

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