Senior Data Scientist

This Senior Data Scientist role focuses on advanced data analysis and model development to drive business insights and product improvements. The position requires expertise in statistical modeling, machine learning, and data visualization to solve complex problems and support strategic decisions.

At Snowflake, we are powering the era of the agentic enterprise. 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. 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. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake’s most critical initiatives. 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. You will work on long-running analytical initiatives yielding substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services. 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. AS A SENIOR FULL STACK DATA SCIENTIST AT SNOWFLAKE 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.   - 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. - 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. 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 experience working with SQL & Python including scikit-learn, numpy,

Analyzes complex datasets to derive actionable insights that inform product development at Supermetrics. Collaborates with cross-functional teams to enhance data-driven decision-making, likely focusing on marketing data analytics and product improvements.

This is a Senior Data Scientist role at Smartly, a marketing technology company. The role focuses on leveraging data science to drive marketing insights and optimization. The position requires advanced analytical skills to solve complex business problems.

Manages relationships with key clients, ensuring satisfaction and driving adoption of Zeta's platform. Coordinates with internal teams to resolve issues and identify growth opportunities.

Analyzes programmatic advertising data to derive insights and optimize campaign performance. Builds reports and dashboards to support strategic decisions for clients.

Designs and executes test plans for software products, identifying bugs and ensuring quality. Works with development teams to automate testing and improve release processes.