Senior Data Scientist

What you'll do

• Design and deploy scalable machine learning models including time-series forecasting, LTV modeling, and deep learning architectures.
• Manage the end-to-end experimentation pipeline from hypothesis generation to causal interpretation using methods like CUPED and multi-armed bandits.
• Lead causal inference and econometric analyses to identify and influence key levers of business growth.
• Define and evolve success metrics using advanced measurement frameworks to ensure KPIs are predictive and causally informative.
• Translate complex data findings into clear, actionable strategy recommendations for VP and Director level stakeholders.
• Architect analytical frameworks and modeling solutions to drive the AI strategy for product support and live experiences.
• Integrate machine learning models into production environments for personalization, recommendation, and AI-assisted user experiences.

What we're looking for

• Master’s degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field.
• 4+ years of progressive experience in applied data science roles with increasing scope and complexity.
• Proven experience applying state-of-the-art machine learning and causal inference methodologies in product-facing applications.
• Expert-level proficiency in SQL as well as Python or R.
• Experience integrating ML models into production environments for personalization, recommendation, or AI-assisted UX.
• Deep knowledge of experimental design, including non-standard A/B testing, uplift modeling, and sequential testing frameworks.
• Deep understanding of Generative AI and other evolving technologies to accelerate insights.
• Strong communication skills to translate sophisticated analytics into strategic guidance for senior stakeholders.