Build the future of the AI Data Cloud. Join the Snowflake team.
There is only one Data Cloud. Snowflake's founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn't stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.
We're at the forefront of the data revolution, committed to building the world's greatest data and applications platform. Our 'get it done' culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.
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We're looking for a Data Science Manager to lead Snowflake's corporate machine learning function. In this role in the CIO's org, you will be responsible for leading and managing a team of data/ML scientists who work on developing and integrating cutting-edge AI technologies - primarily Snowflake techstack - to meet our corporate internal needs. This role involves overseeing the strategy, development, and execution of data science initiatives, as well as ensuring the growth and professional development of the team.
AS A DATA SCIENCE MANAGER AT SNOWFLAKE, YOU WILL:
- Lead and manage a team of data scientists, providing guidance and mentorship to ensure the success of the team
- Develop and execute data science strategies and initiatives that align with Snowflake's business goals
- Collaborate with cross-functional teams, including cloud engineering, sales, finance, and marketing, to ensure successful product development and launch
- Work closely with various stakeholders to understand their needs and incorporate feedback into data science initiatives
- Develop and execute data science strategies and initiatives that focus on LLM, NLP, as well as classical data science
- Stay abreast of the latest developments in AI technologies to ensure Snowflake remains a leader in this space
OUR IDEAL CANDIDATE WILL HAVE:
- Proven experience (2+ years) in data science management, ideally with a focus on AI, machine learning, and data engineering; total 10+ years' experience in AI/ML
- Demonstrable experience productionalizing AI/ML projects
- Strong understanding of AI workflows and their applications in enterprise
- Excellent communication and leadership skills, with the ability to influence cross-functional teams with strong collaboration skills
- Ability to handle volatility and uncertainty in data science projects, with a focus on adapting to changing requirements and priorities
- Strong analytical skills, experience in leveraging data to make critical business decisions
- Knowledge and experience in cloud environments, such as AWS, Azure, and GCP.
- Experience developing and deploying machine learning models for predictive analytics and forecasting
- Knowledge of natural language processing and text analytics, with a focus on sentiment analysis and topic modeling
- Strong GenAI/LLM fundamentals including in context learning, fine-tuning, inference, and language programming frameworks such as Langchain, and solid understanding of the transformer model
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?
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?