Data Science & Analytics Intern

Glendale, CA (Hybrid)

Age of Learning

Leading the Way in Learning Outcomes Age of Learning is the leading education technology innovator, developing engaging Pre-K through 5th grade learning solutions that help children build a strong foundation for academic success and a lifelong...

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Company OverviewAge of Learning®is the leading developer of engaging and effective Pre-K through 5th grade learning resources that help children build a strong foundation for academic success and a lifelong love of learning. The company’s research-based curriculum, developed by education experts, includes the award-winningABCmouse.com®Early Learning Academy, as well as the adaptive, personalized school solutions,My Math Academy®,My Reading Academy®, andMy Reading Academy Español. Having served over 50 million children worldwide, Age of Learning is a global leader in efforts to advance equity, access, and opportunity for all children. 
Summary: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.

Responsibilities:

  • 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. 
  • Hands-on experience with product analytics and data science in a mission-driven edtech company 
  • Exposure to end-to-end analytics workflows from data exploration to presentation 
  • A deeper understanding of how data informs real product and user experience decisions 

Minimum Qualifications:

  • Must be a 3rd or 4-th 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 
Total Compensation:The estimated compensation range for a new hire in this position is $21.00/hour to $25.00/hour USD. Compensation may vary depending on job-related factors, including knowledge, skills, experience, and location.
Age of Learning currently provides: • 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
Security AdvisoryAt Age of Learning, we prioritize a safe recruitment process. Communication will come solely from official Age of Learning email addresses, @aofl.com, or our verified LinkedIn Recruiter accounts — be cautious of deviations. We will never request sensitive personal information during the early application stages. Interviews are conducted via phone, in person, or Zoom — never through messaging apps. Job offers are communicated verbally and followed by written documentation via Docusign. Any requests for personal information will occur through secure channels only.
An Equal Opportunity EmployerAge of Learning, Inc. (the “Company”) is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender expression, age, physical or mental disability, medical condition, pregnancy, veteran or military status, marital status, sexual orientation, gender identity, domestic partner status, genetic information, or any other legally-recognized protected basis under federal, state, or local laws, regulations, or ordinances. Age of Learning, Inc. (the “Company”) will consider qualified applicants with criminal histories pursuant to EEOC requirements and state applicable laws, e.g. New York City Fair Chance Act.
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Category: Analyst Jobs

Tags: A/B testing Computer Science Data Analytics Data pipelines Data visualization Economics Mathematics Pipelines Privacy Python R Research Security SQL Statistics Testing Unstructured data

Perks/benefits: Career development Equity / stock options Startup environment Team events

Region: North America
Country: United States

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