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 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. Benefits 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 and state applicable laws, e.g. New York City Fair Chance Act. Employee/Applicant Privacy Notice Employee/Applicant Privacy Notice #J-18808-Ljbffr