Data Science Intern

Zillow • Seattle, WA

3d • $104,000 - $166,000 • Hybrid

About The Position

Zillow’s Data Science and Analytics organization turns complex data into insights that inform decisions across the company. The Data Science Intern will apply quantitative and programming skills to a scoped, real-world project, working with data scientists and cross-functional partners to understand customer behavior, measure outcomes, and identify opportunities to improve the customer experience. With guidance from a manager and team, the intern will work through the analytical process, from defining a question and preparing data to interpreting results and sharing recommendations.

The nine-week summer internship runs June 14 through August 13, 2027. Interns contribute to real business projects, build hands-on experience, connect with mentors and leaders, and participate in learning and community experiences with their intern cohort. Projects may focus on business reporting and insights, marketing strategy and measurement, product usage analysis, pricing strategies, or data products that support decision-making. The position is based in Seattle and follows a hybrid schedule, with interns generally working together in person Tuesday through Thursday. This role is categorized as an Office position; employees regularly work at an existing ZG corporate office approximately 80 to 100 percent of their time each month and must live within reasonable commuting distance of their designated office. Eligible interns will receive a stipend to help offset summer housing and relocation costs.

Requirements

• Currently pursuing a bachelor’s or master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Finance, or a related quantitative field.
• Targeting a graduation date before December 2028.
• Foundation in probability, statistics, and data analysis through coursework, research, or projects.
• Ability to use Python, R, or a similar programming language to manipulate data and perform analysis.
• Familiarity with SQL and relational data, or demonstrated ability and willingness to learn.
• Enjoys asking questions, investigating patterns, and bringing structure to ambiguous problems.
• Thoughtful analytical approach, including checking assumptions, validating results, and distinguishing supported conclusions from uncertainty.
• Ability to explain thinking clearly and collaborate with people from different technical and nontechnical backgrounds.
• Curiosity about using AI tools to support work while maintaining independent judgment, validating outputs, and following data-handling guidelines.

Nice To Haves

• Exposure to A/B testing, experimental design, or causal inference.
• Experience with data visualization tools or libraries.
• Familiarity with regression, predictive modeling, or other statistical learning methods.
• Experience organizing reproducible work using notebooks, version control, or clear technical documentation.
• Experience from coursework, academic research, student organizations, or personal projects is welcome; prior professional data science experience is not required.

Responsibilities

• Partner with a manager and stakeholders to turn an open-ended business question into an analytical plan with clear goals and deliverables.
• Use SQL and Python or R to explore, prepare, and validate data; document assumptions and flag data-quality issues.
• Analyze customer behavior or business performance to uncover insights and potential opportunities.
• Apply appropriate statistical methods, such as regression, hypothesis testing, or experiment analysis, including A/B tests and pilots.
• Help define and interpret metrics that connect analysis to customer and business outcomes, and support ongoing performance tracking.
• Create clear visualizations and reproducible analyses that make findings useful to others.
• Collaborate with engineers, product managers, marketers, and other teammates on approaches to analyzing and communicating insights.
• Communicate analytical approach, results, recommendations, and limitations to technical and nontechnical audiences.
• Document work and deliver a final presentation and handoff so the team can build on the findings.

Benefits

• Eligible interns will receive a stipend to help offset summer housing and relocation costs.
• Interns can connect with mentors and leaders and participate in learning and community experiences with their intern cohort.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern