Data Scientist

Build the future of data. Join the Snowflake team.

We’re looking for a Data Scientist to join Snowflake's Data Science & Analytics team. 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 DATA SCIENTIST AT SNOWFLAKE YOU WILL, 

• Work closely with stakeholders to understand the use-cases and identify areas where one can apply ML algorithms for  the highest potential impact
• Apply advanced ML algorithms using large-scale datasets. Leverage techniques such as reinforcement learning, deep learning, tree-based methods, bayesian techniques, kernel/non-parametric methods, gradient boosting and generative models
• Deploy machine learning models into production systems, ensuring scalability and seamless integration

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
• 3+ years experience applying machine learning or statistical modeling on large-scale datasets and in pre-processing and analyses of data 
• Firm understanding of the basic classes of ML algorithms and their underlying assumptions including statistics and linear algebra
• Ability to break complex problems down into sizable pieces and work towards them.
• Technical expertise in one or more of the following topics: Anomaly Detection, Clustering, Time-Series Analysis & Forecasting, Natural Language Processing, Uncertainty Quantification 
• Domain knowledge and experience in the application of ML to one of the following areas Sales, Sales Engineering, Security etc.,
• 3+ years experience writing production-quality, scalable code using Python and knowledge of the software development lifecycle and best practices
• Expert level knowledge working with libraries such as scikit-learn, pandas, etc., SQL and Airflow
• Required to adapt quickly to changing project scope while delivering value.