Data Scientist

• 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

Benefits

• Comprehensive health benefits
• Flexible Time Off policy
• Matching 401k plan
• Commuter Benefits Plan

Preferred experience

• Master’s in a quantitative field such as Data Science, Operations Research, Computer Science, Mathematics, Statistics, Industrial Engineering, Mechanical Engineering, Physics, or related field
• Proficient with applied machine learning techniques (classification, regression, evaluation metrics, etc.), especially tree-based models like XGBoost
• Self-directed, curious, and able to thrive in a fast-paced and evolving industry
• 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
• 5+ years of experience in a data science or applied machine learning role, ideally in a high-scale, real-time environment
• Strong written and verbal communication skills — able to synthesize technical findings into clear, actionable insights
• Experience with Scala/Apache Spark for distributed data processing and machine learning at scale