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 looking for a Doctoral level Data Science Intern to partner with Snowflake's Corporate data science function. In this role, you will apply machine learning to a variety of domain specific use-cases across Snowflake’s Legal, Sales, Sales Engineering, Alliances, IT, Security, Professional Services & Training. This is a generalist role and will provide an opportunity to pick from a wide breadth of problems, applying a good mix of models & methods.

WHAT WE OFFER:

• Paid, full-time internships in the heart of the software industry
• Post-internship career opportunities (i.e. return internship, FT role)
• Exposure to a fast-paced, fun and inclusive culture
• A chance to work with world-class experts on challenging projects
• Opportunity to provide meaningful contributions to a real system used by customers
• High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation
• Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag and much more
• When return to office in effect, catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more

WHAT WE EXPECT:

• Must be actively enrolled in an accredited college/university program during the time of the internship
• Completed an undergraduate degree and currently enrolled in a Doctoral program in a quantitative discipline (Statistics, Computer Science, Computer Engineering, Mathematics, Economics, Operations Research etc.)
• Fluency with Python (including popular ML packages) and SQL
• Knowledge of Probability & Statistics, Machine Learning (ML) & Data Science
• Knowledge of data structures & algorithms
• Research interests in statistical learning, causal inference, optimization theory, machine learning or a related area 
• Strong critical thinking & analytical skills. Eagerness to learn. 
• Good communication skills

WHAT YOU WILL LEARN:

• How to analyze real-world large-scale noisy data sets 
• How to formulate an ML problem and develop an algorithm solution for it
• How to work with typical tools in a data tech stack
• How to develop & manage ML pipelines
• How to think about model lifecycle management
• How to think about scale when applying different ML methods 

WHAT YOU WILL ACCOMPLISH:

• Collaboration with a team of high-performing data scientists & analysts
• Research in generalizing data science and machine learning solutions 
• Identifying business opportunities within Snowflake & develop algorithms for them
• Driving technical advances in forecasting, anomaly detection, user behavior modeling, churn analysis, recommendation engines etc.
• Thinking creatively & proactively to further Snowflake’s roadmap for data science
• “Customer Zero” initiatives to drive Snowflake on Snowflake projects