Nexxen
Senior Data Scientist (DSP) – Nexxen
Join our team as a Senior Data Scientist (DSP) at Nexxen, a global leader in flexible, data‑driven advertising solutions. We empower advertisers, agencies, publishers, and broadcasters worldwide through our unified technology stack that includes a demand‑side platform (DSP), supply‑side platform (SSP), and the Nexxen Data Platform.
Why join the Nexxen team? With a global footprint, you’ll 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 all current and prospective employees. Nexxen will never request payment as a condition of employment, offer roles that require investment in vague or dubious financial schemes, or promote get‑rich‑quick opportunities. If you encounter suspicious messages claiming to be from Nexxen, contact us at
infosec@nexxen.com
to verify legitimacy.
What You’ll Do We’re looking for a self‑directed, analytical, and curious Senior Data Scientist with 5+ years of hands‑on experience to join our team working on the core optimization and bidding logic of the Nexxen DSP. Your work will directly impact how we bid, win, and optimize impressions across real‑time programmatic advertising exchanges.
Daily Responsibilities
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 a related field.
5+ years of experience in a data science or applied machine learning role, ideally in a high‑scale, real‑time AdTech environment.
Proficiency 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.
Familiarity with deep learning 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.
Benefits & Compensation In support of pay transparency, the minimum and maximum full‑time annual base salary for this role is $160,000 – $210,000 at the time of posting. Actual compensation is influenced by skill set, level of experience, education, certifications, responsibility, and geographic location. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), Employee Assistance Program (EAP), parental leave, unlimited vacation, and company‑paid holidays. Benefit options may vary by state, start date, and employment type.
For information about how we handle your personal information, please view our Applicant and Candidate Privacy Notice.
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Why join the Nexxen team? With a global footprint, you’ll 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 all current and prospective employees. Nexxen will never request payment as a condition of employment, offer roles that require investment in vague or dubious financial schemes, or promote get‑rich‑quick opportunities. If you encounter suspicious messages claiming to be from Nexxen, contact us at
infosec@nexxen.com
to verify legitimacy.
What You’ll Do We’re looking for a self‑directed, analytical, and curious Senior Data Scientist with 5+ years of hands‑on experience to join our team working on the core optimization and bidding logic of the Nexxen DSP. Your work will directly impact how we bid, win, and optimize impressions across real‑time programmatic advertising exchanges.
Daily Responsibilities
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 a related field.
5+ years of experience in a data science or applied machine learning role, ideally in a high‑scale, real‑time AdTech environment.
Proficiency 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.
Familiarity with deep learning 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.
Benefits & Compensation In support of pay transparency, the minimum and maximum full‑time annual base salary for this role is $160,000 – $210,000 at the time of posting. Actual compensation is influenced by skill set, level of experience, education, certifications, responsibility, and geographic location. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), Employee Assistance Program (EAP), parental leave, unlimited vacation, and company‑paid holidays. Benefit options may vary by state, start date, and employment type.
For information about how we handle your personal information, please view our Applicant and Candidate Privacy Notice.
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