Data Science Intern
Analyzes product and business data, develops metrics and dashboards, and communicates actionable recommendations to cross-functional teams and leadership. Candidates should be pursuing a quantitative bachelor's or master's degree, with SQL proficiency and familiarity with Python or R.
About the job
Responsibilities
- Conduct data analyses to identify insights and opportunities to improve the product and business.
- Communicate actionable recommendations to cross-functional teams and leadership.
- Work with product and business partners to use data to advance their respective areas.
- Create metrics and build dashboards to monitor growth and product health.
- Contribute to strategic decision-making through clear communication of insights.
Requirements
- Pursuing a bachelor's or master's degree in a quantitative field such as Economics, Statistics, Applied Math, Engineering, Computer Science, or Natural Sciences.
- Must graduate before December 2027.
- Previous research or internship experience.
- Proficiency in SQL for data extraction, transformation, and analysis.
- Working toward proficiency in Python or R.
- Ability to problem-solve and adapt in a fast-paced, dynamic environment.
- Strong written and verbal communication and cross-functional collaboration skills.
- Interest in AI technologies, including LLMs, embeddings, and machine learning.
Nice-to-haves
- Previous internship experience with product, engineering, or go-to-market teams.
- Interests outside technology, such as art, history, or social sciences.
Compensation and Benefits
- Notion provides competitive cash compensation, equity, and benefits.
- San Francisco estimated hourly compensation: $55/hour for bachelor's students and $59/hour for master's students.
- Internship dates: January 25–April 16.
- Must be able to work from the San Francisco office during the internship.
Skills
SQL, Python, R, Data Analysis, Data Visualization, Dashboards, Metrics, Machine Learning, LLMs, Embeddings, Statistics
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