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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
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