Data Science & Analytics Intern

Age Of Learning-posted 9 months ago
$21 - $25/Yr
Glendale, CA
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Our Data & Analytics team is looking for a technically minded, curious individual who is passionate about uncovering meaningful insights to help make learning more engaging and enjoyable for young learners. In a guided collaborative setting, this individual will use descriptive and prescriptive analytics to identify user behaviors and develop self-serve tools and dashboards for stakeholders, leveraging strong business understanding and close collaboration with the Product Analytics team and cross-functional partners. The ideal candidate embraces a growth mindset and demonstrates the ability to continuously learn, unlearn, and adapt in a dynamic environment.

  • Develop a strong understanding of product and business context to frame the right questions and deliver relevant insights.
  • Explore user behavior through data, including building user segments and journey maps to uncover patterns and share actionable insights with the team.
  • Build and maintain production-grade data pipelines that support scalable, self-serve dashboards and in-depth analysis.
  • Learn the end-to-end A/B testing process, including defining impact metrics, estimating potential outcomes, and evaluating test results to guide product decisions.
  • Build predictive models to identify opportunities that drive user engagement, retention, and conversion within the product.
  • Work with unstructured data, such as user feedback and reviews, to analyze sentiment and share key takeaways that inform product improvements.
  • Communicate analytical findings effectively through coherent insights, presentation, and visualizations that support stakeholder decision-making.
  • Must be a 3rd or 4th year undergraduate or graduate currently pursuing a degree in Data Science, Data Analytics, Computer Science, Statistics, Economics, or a related field.
  • Strong interest in applying analytics to solve real-world product challenges.
  • Familiarity with SQL and at least one programming language such as Python or R.
  • Basic understanding of data visualization tools.
  • Exposure to statistical techniques like hypothesis testing, regression, or experimentation is a plus.
  • Curiosity, initiative, and a willingness to learn and collaborate.
  • Team bonding events and a highly collaborative environment.
  • Commitment to Equal Opportunity Employment in addition to an inclusive and supportive company culture.
  • Access to our internal DEI Task Force that focuses on ensuring our products represent all children on a global scale.
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