Position Details
About this role
Snowflake is seeking a senior data scientist to develop and lead advanced forecasting systems, focusing on time-series and probabilistic models to support revenue planning and financial strategy.
Key Responsibilities
- Design and implement forecasting models
- Lead modeling initiatives
- Build scalable data infrastructure
- Partner with finance and product teams
- Automate model evaluation and monitoring
Technical Overview
This role involves building production-grade forecasting infrastructure using Python, SQL, and cloud data platforms like Snowflake, BigQuery, and Spark, with a focus on probabilistic and Bayesian modeling techniques.
Ideal Candidate
The ideal candidate is a senior data scientist with over 8 years of experience in time-series forecasting, probabilistic modeling, and large-scale data infrastructure. They should have expertise in Python, SQL, and cloud data platforms, with a strong ability to lead impactful modeling initiatives.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 8 years of experience, No experience with time-series or forecasting, Lack of proficiency in Python and SQL, No experience with Snowflake or cloud data platforms
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