Senior Data Scientist

What You’ll Do

• Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting).
• Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics.
• Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulation.
• Apply advanced statistical and ML techniques to model customer behavior, product adoption, revenue dynamics, and cost trends.
• Drive improvements in automation, monitoring, drift detection, and lifecycle management of forecasting models.
• Partner with Finance, Product, and Sales teams to quantify the impact of new initiatives and understand key business drivers.
• Mentor and provide technical guidance to other data scientists; raise the bar for modeling rigor and production quality across the team.

What We’re Looking For

• Advanced degree in a quantitative discipline (Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science) or equivalent practical experience.
• 8+ years of experience building and deploying production-grade ML or statistical systems, with significant experience in time-series modeling.
• Deep expertise in probabilistic modeling, forecasting methodologies, and model evaluation techniques.
• Strong proficiency in Python and the scientific Python ecosystem; fluency in SQL.
• Experience designing systems for large-scale data processing (e.g., Snowflake, BigQuery, Redshift, Spark).
• Demonstrated ability to lead technically ambiguous projects with significant business impact.
• Excellent communication skills, with experience presenting complex quantitative findings to executive stakeholders.
• A track record of elevating technical standards and mentoring other scientists.