<p>Age of Learning® is the leading education technology innovator, creating engaging and effective learning resources to help children build a strong foundation for academic success and a lifelong love of learning. Our research-based digital education programs have proven efficacy in increasing children’s learning gains, and our curriculum is developed by an experienced team of education experts. Age of Learning’s flagship product, ABCmouse.com® Early Learning Academy, is an award-winning comprehensive curriculum for children. &nbsp;Adventure Academy™, a massively multiplayer online game (MMO), provides elementary-and middle-school-age learners the opportunity to build critical knowledge in language, arts, math, science, social studies, and more in a fun and safe virtual world. The company’s School Solutions Programs include My Math Academy® , an adaptive, personalized program that helps students master foundational math concepts, and My Reading Academy™, which helps young learners become fluent readers and build a foundation for reading comprehension and literacy. With over 10 billion learning activities completed by more than 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.</p><p>We are committed to helping all children succeed. Through the Age of Learning Foundation, we make our research-proven educational products available at no cost to millions of children in need through schools, libraries, Head Start programs, community centers, and other governmental and non-governmental organizations. Our work has served communities on 5 continents and continues to grow today</p>

Age of Learning

Senior Data Scientist

The Senior Data Scientist will lead in-depth analyses of large-scale data problems to influence various aspects of the business. This role involves leading and delivering insights throughout the customer lifecycle, from initial product discovery to engagement and churn. The focus will be on flagship consumer products like ABCmouse.com and Adventure Academy. Responsibilities include data capture, verifying data integrity, data manipulation, business monitoring, data visualization, in-depth and predictive analyses, and the development of in-product features. The insights generated will be crucial for optimizing user acquisition and product performance.

<div><b style="font-size: 18px">Company&nbsp;Overview:</b></div><div><span style="font-size: 16px">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&nbsp;<a href="http://ABCmouse.com">ABCmouse.com</a>® 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&nbsp;</span><a href="http://www.AgeofLearning.com"><span style="font-size: 16px">www.AgeofLearning.com</span></a><span style="font-size: 16px">.</span></div><div><br></div><div><b style="font-size: 18px">Summary:</b></div><div>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: <a class="postings-link" href="http://ABCmouse.com">ABCmouse.com</a>® 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, 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.&nbsp;</div><div><br></div></div><div class="section page-centered"><div><h3>Responsibilities:</h3><ul class="posting-requirements plain-list"><ul><li>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&nbsp;</li><li>Develop statistical analyses and build and deploy machine learning models to understand and predict customer behavior and product performance&nbsp;&nbsp;</li><li>Create, report, and interpret key metrics to assess performance, measure the impact of strategic initiatives, and identify ways to grow revenue and reduce costs&nbsp;</li><li>Support A/B and multivariate testing&nbsp;</li><li>Create informative and actionable dashboards and visualizations&nbsp;</li><li>Communicate results to technical and non-technical stakeholders&nbsp;</li><li>Identify actionable insights that positively affect both company revenue and learning outcomes for children&nbsp;</li><li>Build personalization features to customers&nbsp;</li><li>Mentor others across the company on Data Science best practices, tools, and techniques&nbsp;</li></ul></ul></div></div><div class="section page-centered"><div><h3>Required Qualifications:</h3><ul class="posting-requirements plain-list"><ul><li>8+ years in a data-intensive role&nbsp;</li><li>Master’s degree in a quantitative field (Ph.D. preferred)&nbsp;</li><li>Experience in an analytical or product-focused role within large-scale, successful free-to-play (F2P) digital products. Background in gaming or educational apps is a plus.</li><li>Proven experience with analytical, statistical, and machine learning methods&nbsp;</li><li>Experience productionalizing models&nbsp;</li><li>Proficiency in SQL and Python&nbsp;</li><li>Excellent written and verbal communication skills&nbsp;</li><li>Proven ability to explain technical concepts to non-technical stakeholders&nbsp;</li><li>Curious, motivated, self-starter, collaborative, team player&nbsp;</li><li>Passionate about high-quality, insightful data analysis&nbsp;</li><li>Experience mentoring others&nbsp;</li></ul></ul></div></div><div class="section page-centered" data-qa="closing-description"><div><b>Total Compensation:</b></div><div>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.</div><div><br></div><div><b style="font-size: 16px">Age of Learning currently provides:</b><b><span style="font-size: 16px">&nbsp;</span></b></div><div><span style="font-size: 16px">• 90% of employee health and welfare benefits premiums &amp; 65% of dependent benefits premiums</span></div><div><span style="font-size: 16px">&nbsp;• A 401(k) program with employer match</span></div><div><span style="font-size: 16px">&nbsp;• 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</span></div><div><span style="font-size: 16px">&nbsp;• Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions</span></div><div><br></div><div><b style="font-size: 16px">Security Advisory</b></div><div><span style="font-size: 16px">At 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.</span></div><div><br></div><div><b><span style="font-size: 16px">An Equal Opportunity Employer</span></b></div><div><span style="font-size: 16px">Age 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&nbsp;</span><a style="font-size: 16px" href="https://www.eeoc.gov/background-checks">EEOC requirements</a><span style="font-size: 16px">&nbsp;and state applicable laws, e.g.&nbsp;New York City Fair Chance Act.</span></div><div><br></div><div><a style="font-size: 16px" href="https://www.ageoflearning.com/employee-applicant-privacy-notice/">Employee/Applicant Privacy Notice</a></div>

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Senior Data Scientist

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