Senior Data Scientist

Experience applying machine learning or statistical modeling on large datasets; pre-processing, data quality, feature engineering; the whole nine-yards
Deep understanding of the basic classes of ML algorithms, statistics & linear algebra; with a keen interest in the underlying theory & assumptions
Experience building AI & LLM based applications in a business environment; up to date with advancements in the Gen-AI space, in an applied sense with techniques such as RAG, AI Assistants and Agentic workflows
Solid understanding of NLP techniques and embedding methods, foundational models and model fine-tuning; with experience in developing conversational AI or agentic AI workflows that allow models to take autonomous actions
Experience writing production-quality, scalable code using Python. Strong with the software development lifecycle and its best practices
Experience & a point-of-view for designing and developing end-to-end turn key ML solutions, enablement & adoption baked into the solution. Also experience iterating on ideas and deliverables
Ability to articulate results and complex concepts to all audiences. Ability to collaborate and influence leadership
Demonstrate keen senses of ownership, collaboration and mentorship
Demonstrate leadership, with the ability to inspire the team & lead a project to completion

Lead projects; Conceptualize, design and lead the execution of large AI & ML projects, aligning with the business goals, delivering measurable value & impact
Engage with stakeholders; lead the conversations with technical & non-technical stakeholders; identify areas where one can apply AI & ML; facilitating discussions around key drivers for decision making & operational efficiencies
Provide technical & thought leadership; designing and implementing advanced machine learning techniques, focusing on robust & scalable solutions. Participate in all stages of development, ideation to production
Provide mentorship; to junior ML & Data Scientists, around problem formulation, technical design, algorithm choices & code quality
Develop hands-on; analyze large amounts of data, manage data quality, design & develop complex ML models (and the ensuing ML solutions) including ML pipelines, deploy & manage production-grade applications end-to-end, and tell the story in a compelling manner
Partner with customers; showcase internal solutions to customers, help them envision solutions stringing Snowflake platform capabilities together, partner with internal teams that enable customer solutions

High levels of curiosity, eager enthusiasm & demonstrable experience working on open-ended problems
Exceptional problem solving skills with the ability to think strategically
Demonstrable experience and interest in problem formulation based on relatively abstract information
High levels of adaptability, to respond to fast-evolving project scope, adjusting strategies & plans accordingly; comfortable being scrappy