Senior Data Scientist

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 Senior 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 SENIOR 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
• Research, design, and 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
• Own MLOps; deploy machine learning models into production systems, ensuring scalability and seamless integration
• Mentor & guide junior data scientists, fostering a culture of continuous learning and growth within the team

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
• 7+ 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.,
• 5+ 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
• Demonstrate keen senses of ownership, collaboration and mentorship
• Ability to articulate results and complex concepts to leadership
• 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

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. 

How do you want to make your impact?

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.