Data Science Intern

Key Skills

Big Data Technology, Data science techniques, Database, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Pandas, Product Analytics, Python Programming, Snowflake, SQL

Job Description

WHAT WE OFFER :

• 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

WHAT WE EXPECT :

• 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

WHAT YOU WILL LEARN / GAIN :

• 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.

POSSIBLE TEAMS / WORK FOCUS AREAS :

• Data app development
• Applied ML for Product Analytics