Senior Data Scientist, Learner Experience

About Khan Academy

Khan Academy is a nonprofit with the mission to deliver a free, world-class education to anyone, anywhere. Our proven learning platform offers free, high-quality supplemental learning content and practice that cover Pre-K - 12th grade and early college core academic subjects, focusing on math and science. We have over 181 million registered learners globally and are committed to improving learning outcomes for students worldwide, focusing on learners in historically under-resourced communities.

Our team includes people from academia, traditional/non-traditional education, big tech companies, and tiny startups. We hire great people from diverse backgrounds and experiences because it makes our company stronger. We value diversity, equity, inclusion, and belonging as necessary to achieve our mission and impact the communities we serve. Khan Academy is looking for a Senior Data Scientist, Learner Experience to play a critical role in our growing team, partnering with our chief learning officer and product leadership to drive engagement and improve student outcomes.

The Role

• Partner with product teams to understand and help develop theories of action which describe testable hypotheses for the impact of new features.
• Identify and measure success of initiatives through goal setting, forecasting, event instrumentation, monitoring, and ongoing analysis of core outcome metrics.
• Perform exploratory analyses on our rich datasets to extract insights about our teacher & learner behavior and guide our decisions around product roadmap and investments.
• Use your expertise with statistical techniques to quantify the impact of various features, programs, and interventions.
• Share results of analyses to non-technical audiences in ways that help them develop insights about our offerings.
• Contribute to the development of self-service analytics tools to enhance data access for the product team; work with our engineering teams to improve our tools and datasets.

What You Bring

• Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere."
• Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.
• Background in applied math, statistics, economics, or a related technical field.
• 5+ years of experience in data science or analytics.
• Proficient with statistical techniques (i.e., multiple regression, causal inference, AB testing, hypothesis testing) for real-world applications.
• Advanced SQL foundations & ability to manipulate data using R or Python.
• Compelling data storytelling and visualization (i.e. Looker) with the ability to communicate effectively with non-technical stakeholders.
• Strong business intuition & judgment, with a knack for asking the right questions to drive impact.
• Prior experience working in the education industry is a plus.

Perks And Benefits

We may be a non-profit, but we reward our talented team extremely well! We offer:

• Competitive salaries.
• Ample paid time off as needed – Your well-being is a priority.
• 8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost.
• Remote-first culture - that caters to your time zone, with open flexibility as needed, at times.
• Generous parental leave.
• An exceptional team that trusts you and gives you the freedom to do your best.
• The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education.
• Opportunities to connect through affinity, ally, and social groups.
• 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life.

Our Company Values

• Live & breathe learners
• Take a stand
• Embrace diverse perspectives
• Work responsibly and sustainably
• Bring out the joy
• Cultivate learning mindset
• Deliver wow

Key skills/competency

• Data Science
• Learner Experience
• Statistical Modeling
• Causal Inference
• A/B Testing
• SQL
• Python
• R
• Looker
• Data Storytelling