Senior Data Scientist - Product

On-site

Responsibilities

- Build efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.
- Build scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.

To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.
You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
In this role, you will work closely with our Product and Engineering teams on everything from core operations, to innovative AI/ML tools, to our fastest-growing new and experimental features.
This is a strategic, high-impact role that will help shape the future of Snowflake products and services.
experience working with SQL & Python including scikit-learn, numpy, and pandas.
- High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.
- The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.
Snowflake employees must abide by the company’s data security plan as an essential part of their duties.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.

OUR IDEAL CANDIDATE WILL HAVE: - MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS). - 8+ years of relevant data science or related experience. - Expert-level

How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and

At Snowflake, we are powering the era of the agentic enterprise.
We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
You will work on long-running analytical initiatives yielding substantial product enhancements.
PLEASE NOTE: The position level is determined during the interview process and is influenced by various factors, including experience, educational attainment, skill level requirements, and overall interview performance.
YOU WILL: - Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.
- Be an early adopter/pro user of Snowflake features and provide feedback on design parameters.
- Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.
- Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.
- Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.
- Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.