Senior Data Scientist

Mountain View, CA / Remote (Continental US + Hawaii + Canada Only)

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 Community

Our students, teachers, and parents come from all walks of life, and so do we. 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. We know that transforming education starts in-house with learning about ourselves and our colleagues. We strive to be world-class in investing in our people and commit to developing you as a professional.

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

Perks and Benefits

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

At Khan Academy, we are committed to fair and equitable compensation practices, the well-being of our employees, and our Khan community. This belief is why we have built out a robust Total Rewards package that includes competitive base salaries, and extensive benefits and perks to support physical, mental, and financial well-being.

The target salary range for this position is $137,871 - $172,339 USD / $186,306 - $232,883 CAN. The pay range for this position is a general guideline only. The salary offered will depend on internal pay equity and the candidate’s relevant skills, experience, qualifications, and job market data.

We deeply understand and empathize with our users. We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love. Our success is defined by the success of our learners and educators.

Equal Opportunity

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We value diversity, equity, and inclusion, and we encourage candidates from historically underrepresented groups to apply.

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities and we may provide reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact careers@khanacademy.org.

We are a diverse community. We seek out and embrace a diversity of voices, perspectives and life experiences leading to stronger, more inclusive teams and better outcomes. As individuals, we are committed to bringing up tough topics and leaning into different points of view with curiosity. We actively listen, learn and collaborate to gain a shared understanding. When a decision is made, we commit to moving forward as a united team.

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