Senior Data Scientist at Khan Academy

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

172339.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Analytics, Statistical Techniques, SQL, R, Python, Data Storytelling, Visualization, Business Intuition, Causal Inference, AB Testing, Hypothesis Testing, Exploratory Analysis, Cross-Cultural Competency, Education Industry Experience

Industry

E-Learning Providers

Description

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. Khan Academy is looking for a senior data scientist to play a critical role in our growing team. This role will partner with our chief learning officer and product leadership team to drive engagement and improve student outcomes. We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich datasets, and work collaboratively across the organization to drive critical strategic decisions. 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 And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life 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. MORE ABOUT US Sal’s TED talk from 2011 Sal’s TED talk from 2015 Sal's TED talk from 2023 Our team: http://www.khanacademy.org/about/the-team OUR COMPANY VALUES Live & breathe learners 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. Take a stand As a company, we have conviction in our aspirational point of view of how education will evolve. The work we do is in service to moving towards that point of view. However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve. Embrace diverse perspectives 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. Work responsibly and sustainably We understand that achieving our audacious mission is a marathon, so we set realistic timelines and we focus on delivery that also links to the bigger picture. As a non-profit, we are supported by the generosity of donors as well as strategic partners, and understand our responsibility to our finite resources. We spend every dollar as though it were our own. We are responsible for the impact we have on the world and to each other. We ensure our team and company stay healthy and financially sustainable. Bring out the joy We are committed to making learning a joyful process. This informs what we build for our users and the culture we co-create with our teammates, partners and donors. Cultivate learning mindset We believe in the power of growth for learners and for ourselves. We constantly learn and teach to improve our offerings, ourselves, and our organization. We learn from our mistakes and aren’t afraid to fail. We don't let past failures or successes stop us from taking future bold action and achieving our goals. Deliver wow We insist on high standards and deliver delightful, effective end-to-end experiences that our users can rely on. We choose to focus on fewer things — each of which aligns to our ambitious vision — so we can deliver high-quality experiences that accelerate positive measurable learning with our strategic partners. 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. As part of this commitment, Khan Academy will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact careers@khanacademy.org

Responsibilities

The Senior Data Scientist will partner with product teams to develop testable hypotheses and measure the success of initiatives. They will perform exploratory analyses on datasets to extract insights and guide product decisions.