Build the future of data. 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.

We’re looking for a Principal Data Scientist to lead Snowflake's corporate machine learning function. In this role, you will apply AI & ML to a variety of domain specific problems across Snowflake’s business data.This is a generalist role and will provide an opportunity to work on a wide breadth of problems, applying a good mix of models & methods to structured & unstructured data, driving large-scale projects from idea to completion. 

AS A PRINCIPAL DATA SCIENTIST AT SNOWFLAKE YOU WILL:

• Lead projects; Conceptualize, design and lead the execution of large 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), deploy & manage production-grade applications end-to-end, 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.

OUR IDEAL CANDIDATE WILL HAVE:

• 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
• 7+ years 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
• Technical expertise in one or more of the following topics: Anomaly Detection, Clustering, Time-Series Analysis & Forecasting, Natural Language Processing (NLP), Uncertainty Quantification
• Experience building LLM based applications in a business environment; up to date with advancements in the Gen-AI space, in an applied sense, about foundational models & tools in the ecosystem (such as langchain, RAGAS etc)
• 7+ years experience writing production-quality, scalable code using Python. Expert software development lifecycle and best practices
• Deep experience & a point-of-view for developing end-to-end turn key ML solutions, enablement & adoption baked into the solution
• Expert level knowledge working with libraries such as scikit-learn, pandas, etc., SQL, Airflow, Cloud Services
• Domain knowledge and experience in the application of ML to one of Corporate Sales, Sales Engineering, Security & Econometrics, is a plus
• Required to adapt quickly to changing project scope while delivering value.  
• 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

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.