<p>Location: United States</p><br/><p>Team: Data & Analytics</p><br/><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, and intellectually curious, with the expertise to apply advanced statistical methods and modeling to solve large-scale business challenges. In this role, you will be a key member of the Consumer Analytics team, shaping how data science informs the customer journey—from product discovery through engagement and retention.</div><div><br></div><div>Your primary focus will be on our flagship consumer products, ABCmouse.com® and Adventure Academy™, where you will build models, conduct in-depth analyses, and develop data-driven product features that directly influence product strategy and business growth. You will collaborate closely with product, engineering, and marketing teams to translate data into actionable insights and ensure data science capabilities are embedded into both decision-making processes and product innovation.</div><div><br></div><div>Responsibilities include developing predictive and statistical models, partnering with engineering teams to design and implement data-driven product features at scale, and producing insights that help us understand customer behavior and inform product improvements. The heart of this role is applying data science to drive measurable business and educational impact.</div><div><br></div><h3>Responsibilities:</h3><br/><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</li><li>Develop statistical analyses and build and deploy machine learning models to understand and predict customer behavior and product performance&nbsp;</li><li>Contribute to the data science roadmap and strategy, helping define priorities for data-driven features, analyses, and innovation.</li><li>Inform A/B and multivariate testing methodology</li><li>Communicate results to technical and non-technical stakeholders</li><li>Identify actionable insights that positively affect both company revenue and learning outcomes for children</li><li>Build personalization features that enhance the customer experience.</li><li>Mentor others across the company on Data Science best practices, tools, and techniques</li></ul><br/><h3>Minimum Qualifications:</h3><br/><ul><li>8+ years in a data-intensive role</li><li>Master’s degree in a quantitative field</li><li>Proven experience with analytical, statistical, and machine learning methods</li><li>Experience building and deploying models in production environments</li><li>Proficiency in SQL and Python</li><li>Excellent written and verbal communication skills</li><li>Proven ability to explain technical concepts to non-technical stakeholders</li><li>Curious, motivated, self-starter, collaborative, team player</li><li>Passionate about high-quality, insightful data analysis</li><li>Experience mentoring others</li></ul><br/><h3>Preferred Qualifications:</h3><br/><ul><li>Experience with consumer-facing digital products, especially gaming or educational apps.</li><li>Familiarity with advanced modeling techniques, such as:</li><li>Causal inference methods (e.g., propensity scoring, difference-in-differences, uplift modeling)</li><li>Survival analysis and churn modeling</li><li>Personalization and recommender systems</li><li>Clustering and segmentation methods</li></ul><br/><div><b>Total Compensation:</b></div><div>The estimated salary range for a new hire in this position is $170,000 USD to $215,000 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>

Location: United States

  

Team: Data & Analytics

  

 **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](http://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](http://www.AgeofLearning.com).

  

 **Summary:**

We are seeking a Senior Data Scientist who is business-savvy, proactive, and
intellectually curious, with the expertise to apply advanced statistical
methods and modeling to solve large-scale business challenges. In this role,
you will be a key member of the Consumer Analytics team, shaping how data
science informs the customer journey—from product discovery through engagement
and retention.

  

Your primary focus will be on our flagship consumer products, ABCmouse.com®
and Adventure Academy™, where you will build models, conduct in-depth
analyses, and develop data-driven product features that directly influence
product strategy and business growth. You will collaborate closely with
product, engineering, and marketing teams to translate data into actionable
insights and ensure data science capabilities are embedded into both decision-
making processes and product innovation.

  

Responsibilities include developing predictive and statistical models,
partnering with engineering teams to design and implement data-driven product
features at scale, and producing insights that help us understand customer
behavior and inform product improvements. The heart of this role is applying
data science to drive measurable business and educational impact.

  

### 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 
  * Contribute to the data science roadmap and strategy, helping define priorities for data-driven features, analyses, and innovation.
  * Inform A/B and multivariate testing methodology
  * 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 that enhance the customer experience.
  * Mentor others across the company on Data Science best practices, tools, and techniques

  

### Minimum Qualifications:

  

  * 8+ years in a data-intensive role
  * Master’s degree in a quantitative field
  * Proven experience with analytical, statistical, and machine learning methods
  * Experience building and deploying models in production environments
  * 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

  

### Preferred Qualifications:

  

  * Experience with consumer-facing digital products, especially gaming or educational apps.
  * Familiarity with advanced modeling techniques, such as:
  * Causal inference methods (e.g., propensity scoring, difference-in-differences, uplift modeling)
  * Survival analysis and churn modeling
  * Personalization and recommender systems
  * Clustering and segmentation methods

  

 **Total Compensation:**

The estimated salary range for a new hire in this position is $170,000 USD to
$215,000 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 Advisory**

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.

  

 **An Equal Opportunity Employer**

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 [EEOC
requirements](https://www.eeoc.gov/background-checks) and state applicable
laws, e.g. New York City Fair Chance Act.

  

[Employee/Applicant Privacy Notice](https://www.ageoflearning.com/employee-
applicant-privacy-notice/)

