Nexxen
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Senior Data Scientist (DSP)
role at
Nexxen .
Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers, and broadcasters worldwide to utilize data and advanced TV in the most meaningful ways. Our technology stack includes a demand-side platform (DSP) and a supply-side platform (SSP), with the Nexxen Data Platform at its core.
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. We will never request payment as a condition of employment.
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 AdTech 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.
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.
In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is
$160,000 - $210,000
at the time of posting. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays.
For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice.
Seniority: Mid-Senior Level; Employment Type: Full-time; Function: Engineering and Information Technology; Industries: Advertising Services.
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Senior Data Scientist (DSP)
role at
Nexxen .
Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers, and broadcasters worldwide to utilize data and advanced TV in the most meaningful ways. Our technology stack includes a demand-side platform (DSP) and a supply-side platform (SSP), with the Nexxen Data Platform at its core.
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. We will never request payment as a condition of employment.
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 AdTech 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.
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.
In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is
$160,000 - $210,000
at the time of posting. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays.
For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice.
Seniority: Mid-Senior Level; Employment Type: Full-time; Function: Engineering and Information Technology; Industries: Advertising Services.
#J-18808-Ljbffr