Applied Data Scientist

What You’ll Do:

• Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems)
• Develop and deploy statistical and machine learning models to production
• Create scalable data pipelines and APIs that serve real-time analytics
• Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions.
• Own features end to end from statistical design and validation through deployment, monitoring, and iteration.

What You’ll Bring:

• 4–7 years of experience in applied data science
• Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
• Strong Python skills (pandas, scikit-learn, statistical libraries)
• Experience deploying models to production (not just notebooks)
• Solid statistics and machine learning fundamentals
• SQL and database experience
• Experience in building APIs or backend services
• Bachelor's or Master's in a quantitative field (Statistics, CS, Math, Machine Learning/Data Science)
• Strong English communication skills with technical and non-technical audiences
• Self-starter comfortable with ambiguity and autonomy

Bonus Points If You Bring:

• Marketing analytics background (attribution, experimentation, measurement)
• Bayesian statistics or causal inference experience
• Cloud platform knowledge (GCP, AWS, or Azure)
• Time series analysis and forecasting

Why You’ll Love This Role:

This role offers true end‑to‑end ownership from statistical design to production deployment and real customer impact. It’s not pure modeling and not pure engineering, but a blend of both, focused on solving real marketing problems at scale. You’ll work on high‑impact systems that directly shape how businesses understand performance and invest their budgets, all within a fast‑moving, product‑driven environment where your work ships quickly and matters immediately.