Nexxen is looking to solve problems at the intersection of machine learning, large-scale data processing, and ad delivery performance to improve the core optimization and bidding logic of their Demand-Side Platform (DSP).
Requirements
- 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.
- 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.
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; 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.
Other
- Self-directed, analytical, and curious Senior Data Scientist
- Masters/Ph.D. in a quantitative field such as Operations Research, Mathematics, Statistics, Industrial Engineering, Mechanical Engineering, Physics, or related field.
- 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.
- working in the office three days a week and remotely for the rest.
