Hybrid Data Scientist Intern - Drone Delivery Analytics

Wing; Palo Alto (CA); Hybrid; USD 120,000 - 126,000; Full time

Job summary

Wing is seeking a Data Scientist Intern for its Business and Product Analytics & Data Science team in Palo Alto, CA. You will turn complex business questions into data-driven solutions and work with cross-functional partners to inform decisions.

The role emphasizes advanced analytics, modeling, and statistical analysis to quantify impact and guide strategy. You will contribute to experiments, forecasting, and communicating insights across the organization.

Qualifications

• Pursuing a Bachelor's or Master's degree in CS, Engineering, or related field, graduating between Dec 2027 and Aug 2028.
• Strong coding in Python and SQL; familiarity with R or similar data libraries is helpful.
• Solid knowledge of statistical methods including experimental design, hypothesis testing, regression, and causal inference.

Responsibilities

• Execute deep-dive research and analytics on complex datasets to uncover patterns and inform product and business insights.
• Support development of predictive models to forecast trends and measure operational trade-offs.
• Conduct statistical analyses and help set up experimental frameworks (A/B testing, causal inference) to test hypotheses.
• Translate statistical outputs into clear summaries and communicate findings to project teams.
• Analyze KPIs, identify trends, and share insights with stakeholders.

Skills

Python

SQL

R

Education

Bachelor's or Master's in Computer Science, Engineering, or related field

Job description

Wing is seeking a Data Scientist Intern for its Business and Product Analytics & Data Science team in Palo Alto, CA. You will turn complex business questions into data-driven solutions and work with cross-functional partners to inform decisions.

The role emphasizes advanced analytics, modeling, and statistical analysis to quantify impact and guide strategy. You will contribute to experiments, forecasting, and communicating insights across the organization.