Senior Manager, Product Data Science

Навыки

• AI-инструменты в работе
• API (интеграции)
• Решения на данных
• Machine Learning
• Python
• SQL
• Статистика

О компании и продукте

• 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. We’re looking for a Senior Manager to lead our App Experience & Marketplace Data Science team in the Product organization

Задачи

• Serve as the tech lead/manager of a Data Science team in the Product organization, leveraging AI tools and functions (e.g., Cortex AI functions, Agents, CoCo) to accelerate product development and data-driven decision-making
• Mentor team members in core DS disciplines and on the effective and governed use of generative AI tools, including establishing AI best practices and guardrails
• Drive the team's focus toward AI-native deliverables, such as building out Agentic services, semantic views, and conducting AI evaluation for new product features, strategically shifting away from automatable work
• Be hands-on by serving as the primary data scientist on projects, specifically focusing on validating the accuracy and output quality of AI-powered analysis and developing POCs for new AI-driven product features
• Partner with technical and business stakeholders to not only come up with solutions to stated problems, but encourage and enable the team to develop bottoms up ideas
• Maximize the impact of the team, by making sure the data scientists have the best and correct context, and ensuring their skill sets are properly matched to the project
• Grow the team, when appropriate. Convince job candidates on why Snowflake, and the product data science team is an awesome place to work
• You will lead a team covering app experience (UI, growth platform, analyst/admin/data engineer tools and experience) and data marketplace areas
• Well designed high value apps are essential to make it simple for our customers to complete billions of SQL queries, deploy python, and use powerful AI tools every day
• Data marketplace makes it easy with a click of a button to get access to a wide range of 3rd party data instead of having to contact a sales representative at a data vendor and setup and maintain a complex API
• All the projects above allow the data scientist to work on very large datasets, and a variety of diverse interesting projects that span the domains of data engineering, analytics, statistics, and machine learning

Требования

• Masters or PhD in Math/Statistics, Engineering, Computer Science, Science or related quantitative field
• 10+ years experience as a Data Scientist
• 5+ years of experience in building, managing, and leading a high-performing data science team
• Experience in using data science to optimize the user experience
• Expert in SQL and Python
• Demonstrated experience with internal AI tools to build scalable data pipelines and drive analytical workflows
• Advanced knowledge/experience in machine learning and Large Language Models (LLMs), including the ability to critically evaluate and validate AI/ML outputs (e.g., using AI evaluation methods and understanding the limitations of AI Functions)
• Ability to communicate and influence complex ideas to cross-functional stakeholders
• Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data
• Snowflake employees must abide by the company’s data security plan as an essential part of their duties
• It is every employee's duty to keep customer information secure and confidential
• Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth
• We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake
• 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 benefits information: careers.snowflake.com http://careers.snowflake.com
• In this role, you will both lead a team, and be hands-on as a tech lead in this area
• The manager will interact frequently with senior management, product managers, and engineering managers
• The ability to effectively communicate complex technical ideas to a wide audience is crucial

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