Snowflake20.03.2026
Senior Data Scientist
Полная занятостьУдалёнка
Обязанности
- 01Independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics
- 02Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting)
- 03Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics
- 04Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulation
- 05Apply advanced statistical and ML techniques to model customer behavior, product adoption, revenue dynamics, and cost trends
- 06Drive improvements in automation, monitoring, drift detection, and lifecycle management of forecasting models
- 07Partner with Finance, Product, and Sales teams to quantify the impact of new initiatives and understand key business drivers
- 08Mentor and provide technical guidance to other data scientists; raise the bar for modeling rigor and production quality across the team
Требования
- 01Advanced degree in a quantitative discipline (Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science) or equivalent practical experience
- 028+ years of experience building and deploying production-grade ML or statistical systems, with significant experience in time-series modeling
- 03Deep expertise in probabilistic modeling, forecasting methodologies, and model evaluation techniques
- 04Strong proficiency in Python and the scientific Python ecosystem; fluency in SQL
- 05Experience designing systems for large-scale data processing (e.g., Snowflake, BigQuery, Redshift, Spark)
- 06Demonstrated ability to lead technically ambiguous projects with significant business impact
- 07Excellent communication skills, with experience presenting complex quantitative findings to executive stakeholders
- 08A track record of elevating technical standards and mentoring other scientists
Условия
- 01Salary and benefits information available on Snowflake Careers Site (careers.snowflake.com)
- 02Confidentiality and security standards for handling sensitive data
- 03Data security plan compliance as part of duties