Data Scientist Intern

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    Wing

    51-200 employeesPalo Alto, CaliforniaTechnology, Information and Internet
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    Best applied by Oct 15

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    About the role#

    Wing is looking for a Data Scientist Intern to join the Business and Product Analytics team. You will work with cross-functional partners in operations and product to turn business questions into data problems. This role involves using advanced analytics and modeling to evaluate tradeoffs, quantify impact, and guide strategic choices.

    What you'll do#

    • Execute deep-dive research on complex datasets to uncover patterns and synthesize business insights.
    • Support the development of predictive models to forecast trends and project business impact.
    • Conduct statistical analysis and assist in setting up experimental frameworks like A/B testing and causal inference.
    • Translate statistical outputs into clear summaries for project team members.
    • Analyze key performance indicators to identify trends and communicate findings to stakeholders.

    What you'll need#

    • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
    • Graduation date between December 2027 and August 2028.
    • Strong coding proficiency in Python and SQL, with familiarity in R or other data libraries.
    • Foundational knowledge of statistical methods, including regression modeling, hypothesis testing, and experimental design.
    • Experience with quantitative modeling and forecasting techniques.
    • Ability to explain technical findings to business partners.
    • A strong desire to collaborate and tackle projects from raw data to structured insights.

    Location & details#

    • Location: Palo Alto, California.
    • Term: Summer 2027.
    • Modality: Hybrid, in-person.
    • Status: Full-time, paid internship.

    About Wing

    Wing is a technology company based in Palo Alto, California. It specializes in drone delivery services. The company operates a fleet of automated drones to transport small packages from businesses to homes. It focuses on logistics and uncrewed delivery systems.

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