Data Scientist

Build the future of data. Join the Snowflake team.

Founded by industry experts and backed by strategic investors, our disruptive built-for-the-cloud architecture was designed to push the limitations of conventional data warehousing.

Our teams breed ambition, challenge ordinary thinking, push the pace of innovation, in-service of the exploding demand for accessible data.

Snowflake is growing fast and we're scaling our team to help enable and accelerate our growth. We're passionate about our people, our customers, our values and our culture! We're also looking for people with a growth mindset and the pragmatic insight to solve for today while building for the future. And as a Snowflake employee, you will be accountable for supporting and enabling diversity and belonging.

Snowflake started with a clear vision: make modern data warehousing effective, affordable, and accessible to all data users. Because traditional on-premises and cloud solutions struggle with this, Snowflake developed an innovative product with a new built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions.

Snowflake's Sales Operations team is actively seeking a Data Scientist/Senior Data Scientist to join our team. In this role you will have the opportunity to build a best-in-class sales engine and influence our go-to-market strategy using data science solutions. You will leverage your extensive industry experience while collaborating with cross functional teams including sales, finance, sales strategy/operations and IT.

Reporting to the Senior Director of Sales Business Intelligence & Data Science, you will be part of a team charged with structuring and executing the quantitative analyses and building advanced data products needed to run day to day operations and inform sales and company executive strategic decision making to meet our rapid growth objectives. You will collaborate cross functionally to drive performance improvement, contribute to GTM strategy planning, and be the go-to expert on all GTM metrics. You will be a key part of the hands-on group driving strategy for Sales.

IN THIS ROLE YOU WILL GET TO:

• Own end to end data projects related to data enrichment and data quality projects that support go-to-market operations

• Build data science models to drive predictive and prescriptive analytics to influence go-to-market strategy

• Conduct ad-hoc analysis to understand unexpected metric movements and communicate results to other data scientists, operations people, and company leadership

• Contribute in building data science projects in sales operations and create alignment with key stakeholders and cross-functional teams.

• Drive the design, building, and launching of new data models and data pipelines in production

ON DAY ONE WE WILL EXPECT YOU TO HAVE :

• 2-5 years of experience in a data scientist position, ideally supporting sales operations and strategy

• Proficient experience with scripting languages, specifically Python

• Hands on at SQL with advanced operations (partitions, permissions, CTEs, views, etc.)

• Working knowledge of basic ML algorithms, feature extraction & selection, and interpreting results

• Bachelors in Computer Science, Math, Physics, or other technical field, MS/PhD a plus

• Comfortable with ambiguity and moving pieces - we're growing fast

• Ability to communicate your analysis with clarity and precision to both technical and non-technical teams

PREFERRED QUALIFICATIONS:

• Experience with data visualization

• Experience with Git, code reviews, and coordination frameworks (e.g. Airflow)

• Working knowledge of at least one modeling framework (e.g. scikit-learn, TensorFlow)

• Experience with short, medium, and long-term forecasts to understand the likely growth trajectory of our company

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.