Delivery Data Manager managing critical client data for financial data provider FE fundinfo. Collaborating across global teams to ensure accuracy and integrity of fund data.
About the role
- Senior Data Scientist at Snowflake working on predictive modeling and financial forecasting initiatives. Leading high-impact projects at the intersection of ML and business strategy.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- Offers Equity
- Offers Bonus
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