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Data Scientist Intern

SmartNews

Data Scientist Intern

San Francisco, CA
Internship
Paid
  • Responsibilities

    Job Description

    Founded in Tokyo in 2012, SmartNews has quickly become the go-to source of news for millions of users around the world, and a leading news aggregation mobile app. Our mission is bigger than simply aggregating news, and we are working to break through the filter bubble and deliver the worlds quality information to the people who need it.

    We have big problems and challenges to solve in order to achieve our mission of delivering the worlds quality information without filter bubbles or bias. We are looking for someone with an insatiable curiosity and passion to deeply understand user experiences and content consumption. Join us, and help us scale SmartNews in the US and beyond!

    RESPONSIBILITIES

    • Analyze data to inform strategy and product/UX changes for user acquisition, onboarding, engagement, and retention
    • Dive deep into content consumption, feature usage, and user behavior of different user segments as well as importance/relevance of different types of content
    • Surface data insights via visualizations and dashboards as well as written and verbal communication
    • Work closely with data scientists, designers, product managers, and engineers to conduct A/B tests and iterate on product improvements
    • Work with data engineers to design and create data tables for analytical purposes
    • Present key analytical presentation & product recommendation at tenure end

    REQUIREMENTS

    • Technical university degree or pursuing a degree in Mathematics, Computer Science, Statistics, Engineering, or Economics
    • 1+ years of analytical work or equivalent course experience
    • Proficiency in SQL
    • Relevant work or course experience with programming languages used for data analysis (Python, R, etc.)
    • Knowledge of applied statistics (AB testing, predictive models, causal inference, etc.)
    • Strong communication and presentation skills

    NICE TO HAVE

    • Experience related to mobile apps or websites
    • Basic understanding of machine learning