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Nexxen

Senior Data Scientist (AdTech)

Nexxen, San Francisco, California, United States, 94199

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Senior Data Scientist (AdTech)

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Nexxen

5+ years of experience in data science or applied machine learning, ideally in high‑scale, real‑time AdTech/MarTech environments.

Company Overview Nexxen empowers advertisers, agencies, publishers and broadcasters worldwide to utilize data and advanced TV in the most meaningful way. Our flexible and unified technology stack comprises a demand‑side platform (DSP) and supply‑side platform (SSP), with the Nexxen Data Platform at its core.

Why Join Nexxen With a global footprint, you will be part of a team transforming advertising through creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to the Nexxen Way – the 3Cs: Customer Centric, Curious Mindset, Collaborative with No Ego.

Important Notice from Nexxen: Your Safety Matters We care about the well‑being of our current and future employees. Nexxen will never request payment as a condition of employment or promote roles that resemble get‑rich‑quick opportunities. If you receive a suspicious message claiming to be from Nexxen, please contact

infosec@nexxen.com

to verify its legitimacy.

What You’ll Do

Design, implement, evaluate, and help deploy machine learning models for bidding, pacing and KPI prediction (Click, Action, Viewability etc.).

Analyze large‑scale behavioral and performance data using Spark (Scala/PySpark), SQL and Python.

Deep‑dive into complex, legacy codebases; navigate and improve 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

Masters/Ph.D. in a quantitative field such as Operations Research, 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 in AdTech/MarTech.

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.

Strong programming skills in Python and SQL.

Experience with Scala/Apache Spark for distributed data processing and machine learning at scale.

Familiar with Deep Learning using frameworks such as PyTorch/Tensorflow.

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.

Compensation & Benefits Minimum and maximum full‑time annual base salary: $160,000 - $210,000 (location dependent).

Medical, dental, vision, disability insurance, 401(k), EAP, parental leave.

Unlimited vacation, company‑paid holidays.

Pay transparency and equity supported.

Job Details Seniority level : Mid‑Senior

Employment type : Full‑time

Job function : Engineering and Information Technology

Industries : Advertising Services

Location : San Francisco, CA

Schedule : Hybrid – office three days a week, remote for the rest.

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