We’re looking for a Graduate 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 Master’s or PhD 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