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Senior Data Scientist

Khan Academy

$137,871 - $172,339
Nov 21, 2025
Remote, US
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Khan Academy is looking for a senior data scientist to partner with their chief learning officer and product leadership team to drive engagement and improve student outcomes by mining insights from their rich datasets and guiding strategic decisions.

Requirements

  • 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

Responsibilities

  • 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

Other

  • 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
  • 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