Data Science Intern

Mercury • Portland, OR

15h • Remote

About The Position

In the 1950s, Norman Borlaug embarked on an effort to breed a new type of wheat that was disease resistant and had higher yields. In the outskirts of Mexico City, he combined his background of agricultural research and theoretical knowledge with careful experimentation and diligent data collection to run over 6,000 experiments - and he was ultimately successful, kicking off the “Green Revolution” that increased global crop yields by an estimated 44% and earned him a Nobel Prize.
At Mercury, we believe meaningful impact comes from pairing curiosity with rigor. We’re looking for Data Science Interns who're excited to learn how data informs product decisions at a fast-growing fintech company. In this role, you’ll work closely with experienced Data Scientists and cross-functional partners to explore data, answer real business questions, and help Mercury better serve its customers.
As a data science intern, you’ll join a team that aligns with your goals and interests. During the interview process, you’ll have the opportunity to talk through the various team openings.

Requirements

• Be comfortable writing SQL and/or using a statistical programming language (e.g., Python) to analyze data.
• Be motivated to deepen your analytical toolkit, learn new methods quickly, and leverage modern tools like AI to accelerate your work thoughtfully.
• Bring curiosity and thoughtful perspectives to ambiguous problems.
• Hold a high bar for quality and care about getting the details right.
• Communicate clearly, including writing concise explanations of your approach and reasoning.

Responsibilities

• Work with Data Scientists and Product partners to break down business questions into measurable problems.
• Explore product and transactional data to identify trends, behaviors, and opportunities.
• Define, calculate, and monitor key metrics that track product performance and customer outcomes.
• Build dashboards, visualizations, and written summaries that clearly communicate insights.
• Support experiment analysis (A/B tests), cohort analysis, segmentation, and statistical modeling.
• Contribute to projects that directly inform product strategy and business decisions.
• Gain exposure to how production data models and pipelines are built in a high-growth fintech environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed