Senior Data Scientist

Company Overview:Age 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-winning programs ABCmouse.com® Early Learning Academy and Adventure Academy™, as well as the adaptive, personalized school solutions, My Math Academy®, My Reading Academy®, and My 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. To learn more about Age of Learning, visit www.AgeofLearning.com.
Summary:We are seeking a Senior Data Scientist who is business-savvy, proactive, intellectually curious, and an analytics powerhouse to lead, own, and deliver in-depth analyses of large-scale data problems to influence numerous aspects of our business. You will be a thought leader in the Consumer Analytics team with impact across the entire lifecycle of the customer, from discovery of our consumer products through product engagement and churn. Your focus will be on our flagship consumer products: ABCmouse.com® and Adventure Academy™. Contribution will come in the form of defining data capture requirements that can enable rich data analyses, verifying data integrity, data manipulation, business monitoring, data visualization, , and in-depth and predictive analyses, and in-product features. Your insights will be instrumental in optimizing our user acquisition and product performance, ultimately maximizing our product’s impact on children’s learning outcomes. 

Responsibilities:

• Partner closely with multiple stakeholders, including the executive team, marketing, partnerships, strategy, product, and customer success, to understand business needs and surface insights and learnings that address them 
• Develop statistical analyses and build and deploy machine learning models to understand and predict customer behavior and product performance  
• Create, report, and interpret key metrics to assess performance, measure the impact of strategic initiatives, and identify ways to grow revenue and reduce costs 
• Support A/B and multivariate testing 
• Create informative and actionable dashboards and visualizations 
• Communicate results to technical and non-technical stakeholders 
• Identify actionable insights that positively affect both company revenue and learning outcomes for children 
• Build personalization features to customers 
• Mentor others across the company on Data Science best practices, tools, and techniques 

Required Qualifications:

• 8+ years in a data-intensive role 
• Master’s degree in a quantitative field (Ph.D. preferred) 
• Proven experience with analytical, statistical, and machine learning methods 
• Experience productionalizing models 
• Proficiency in SQL and Python 
• Excellent written and verbal communication skills 
• Proven ability to explain technical concepts to non-technical stakeholders 
• Curious, motivated, self-starter, collaborative, team player 
• Passionate about high-quality, insightful data analysis 
• Experience mentoring others 

Total Compensation:The estimated salary range for a new hire in this position is $140,000 USD to $170,000 USD. Salary may vary depending on job-related factors, including knowledge, skills, experience, and location.
Age of Learning currently provides: • 90% of employee health and welfare benefits premiums & 65% of dependent benefits premiums • A 401(k) program with employer match • 15 paid vacation days (increases to 20 days on your 3rd anniversary), 12 observed national paid holidays, 9 sick days, and 16 paid volunteer hours per year • Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions
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.