Data Science Intern in Berlin bei 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: A completed Bachelors Degree (Required), and pursuing Masters or PHD (Preferred)
• Desired majors: Computer Science, Data Science, Engineering or related quantitative fields
• Experience with data analytics/modeling in SQL/Python Pandas
• Excellent communication skills to summarize insights and recommendations
• Experience with professional software development workflows/building pipelines is a plus.
• Experience with ML/LLM/NLP is a plus
• Duration: 4 month minimum, 6 months recommended, up to 12 months supported, start date flexible

• 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