Lead the optimization of foundational technologies within the data platform, driving performance, scalability, and robustness.
Partner closely with engineering and product leadership to define, design, and implement high-impact, data-driven algorithms.
Design and oversee large-scale data experiments to rigorously evaluate and improve algorithm performance.
Own end-to-end data science initiatives, from problem definition and exploratory research to production deployment, monitoring, and iteration.
Develop and apply advanced machine learning, statistical modeling, and visualization techniques to generate actionable insights from complex datasets.
Guide and influence teams in researching, designing, simulating, and prototyping new algorithmic product features aligned with strategic business goals.
Establish best practices for modeling, evaluation, and deployment; mentor other data scientists.

Master’s or Ph.D. in a quantitative field (Computer Science, Physics, Mathematics, Statistics, or related discipline).
5–8+ years of professional experience in applied data science, machine learning, optimization, or predictive modeling.
Demonstrated expertise in building, deploying, and maintaining production-grade data science systems.
Strong architectural judgment around model design, data pipelines, and operational trade-offs.
Extensive experience with big data modeling and distributed systems (e.g., Spark).
Proven ability to communicate complex technical concepts concisely and persuasively to engineers, product managers, and leadership.

Senior Data Scientist

Key skills