We’re looking for a Senior Data Scientist to lead Snowflake's corporate data science function. In this role, you will apply machine learning to a variety of domain specific problems across Legal, Sales Engineering, Alliances, IT, Professional Services & Training. 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.

AS A SENIOR DATA SCIENTIST AT SNOWFLAKE YOU WILL :

• Work closely with stakeholders to understand the use-cases and identify focus areas with the highest potential for impact
• Define and analyze metrics that will in-turn inform the key drivers for decision making & operational efficiencies
• Analyze large amounts of messy data, work on data quality, uncover actionable insights and present them in a compelling manner
• Provide technical & thought leadership designing and implementing machine learning techniques

OUR IDEAL CANDIDATE WILL HAVE :

• High levels of curiosity and eager enthusiasm for open-ended problems
• Experience and interest in problem formulation based on relatively abstract information 
• 5+ years experience applying machine learning or statistical modeling on large-scale datasets
• Deep understanding of the basic classes of ML algorithms and their underlying assumptions
• Technical expertise in one or more of the following topics: Anomaly Detection, Clustering, Time-Series Analysis & Forecasting, Natural Language Processing (NLP), Uncertainty Quantification
• 5+ years experience writing production-quality, scalable code using Python 
• Expert level knowledge working with libraries such as scikit-learn, pandas, etc., SQL and Airflow
• Ability to articulate results and complex concepts to leadership
• Preferably, prior experience applying ML to Professional Services, Sales Engineering, Legal and IT use-cases