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Product Data & Applied Science Intern

Product Data & Applied Science Intern
San Francisco, US
100,000 - 114,000
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Job Description

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.

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 looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake. In this role, you will work closely with our Product Data Science and Engineering teams to uncover insights about how customers use Snowflake, helping to inform Product’s decision making and focus Engineering efforts. You will analyze data, and build models and visualizations that augment the models, pipelines, and dashboards in production. 


  • Paid, full-time internships in the heart of the software industry
  • Post-internship career opportunities (full-time and/or additional internships)
  • 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


  • Must be actively enrolled in an accredited college/university program during the time of the internship
  • Desired Class Level: Bachelors (required), Masters or PhD (preferred)
  • Expected graduation date 2024 or before 
  • Desired majors: Statistics, Maths, Data Science, Economics, Finance, Informatics, Computer Science or related quantitative fields
  • Experience with data analytics/modeling in SQL and Python (experience with Streamlit preferred)
  • Excellent communication skills to summarize insights and recommendations
  • Experience working as a part of a team 
  • Experience with professional software development workflows is a plus.


  • Experience working with big data at one of the premier cloud technology companies in the world
  • Gain understanding of cutting edge database technology and research
  • Brainstorm with a team of high-performing data science professionals on data insights with direct business impact
  • Drive technical advances in data organization, feature engineering, and modeling
  • Think creatively, proactively, and futuristically to identify new opportunities within Snowflake’s long term roadmap for data science.


  • Data app development
  • Applied ML for Product Analytics

The following represents the expected range of compensation for this role:

  • The estimated pay range for this role is .
  • Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

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?

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