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    Internships/DEUNA

    Data Science intern

    DEUNA · San Francisco, California, United States

    rollingOn-siteUnpaidPosted 2026-06-29
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    About the role#

    DEUNA is seeking a Data Science intern to join our Product team in San Francisco. This educational, unpaid internship is designed to provide practical experience and mentorship through direct involvement in real-world data science projects. You will contribute to ongoing initiatives that impact our products and business while gaining exposure to industry best practices in experimentation and analytics.

    What you'll do#

    • Assist in collecting, cleaning, and preparing datasets for analysis.
    • Perform exploratory data analysis to identify trends and patterns.
    • Support the development and evaluation of machine learning models.
    • Build dashboards and visualizations to communicate business insights.
    • Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
    • Document analyses, methodologies, and project findings.
    • Participate in team meetings, knowledge-sharing sessions, and technical discussions.

    What you'll need#

    • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Physics, or a related quantitative field.

    Location & details#

    • Location: San Francisco, California
    • Work Modality: On-site
    • Commitment: Full-time
    • Term: Rolling
    • Compensation: Unpaid
    • Sponsorship: Not available
    Relevant fields:Computer ScienceData ScienceMathematicsStatisticsPhysics

    About DEUNA

    Founded in 2020 and headquartered in New York City, DEUNA is a privately held software development firm with a team of 51 to 200 employees. The company provides payment infrastructure and orchestration solutions to large, multi-market enterprises operating in the e-commerce sector. Its platform supports over 350 payment integrations and utilizes agentic intelligence to manage checkout operations, subscriptions, and revenue reconciliation. By consolidating fragmented payment systems, the organization enables global brands to optimize transaction processing and scale their digital operations.

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