Data Scientist
Company Name:-
Khan Academy
Job Location:-
New Delhi, Delhi
Job Summary:-
ABOUT KHAN ACADEMY
Khan Academy is a fast-paced, nonprofit startup on a mission to provide a free, world-class education for anyone, anywhere.
We already reach millions of students every month and are growing rapidly.
Were building a library of world-class instructional and practice resources that empowers learners.
Whether theyre studying matrices, mitosis, or multivariable calculus, we want to offer students the resources to realize that they can learn anything.
ABOUT KHAN ACADEMY INDIA
Khan Academy India aims to deliver a world class user experience to learners in India that is locally relevant and is enabled by a strong on-the-ground team and operations.
Our learning system is mastery based, which allows students to master key concepts at a pace thats right for them before moving on to more challenging content.
From serving under 500,000 learners in 2016, we are now serving almost 4 million learners a month across our websites, apps and youtube channels.
These learners include both independent learners accessing us at home and teacher directed learners in schools.
Our focus is to reach the underserved by making our content accessible in local languages.
Khan Academy is already available in Hindi, Hinglish, Kannada, Gujarati, Tamil, Bangla and Punjabi.
ABOUT THE ROLE
As the principal data scientist/analyst for Khan Academy India, you will play a critical founding role in building data culture for a high growth organization.
We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich educational datasets, and work collaboratively across the organization to drive strategic and operational decisions.
In this role you will:
Own the continued development of metrics & KPIs, including trend analyses, metrics research, self-service tooling development (e.
g.
Looker or Tableau), and support of business teams who use them to drive strategic & operational decisions
Conceptualize and execute deep-dive analyses to uncover insights around our users across their lifecycle (from acquisition to usage & retention).
You will leverage your strong technical skills to mine for patterns and causal relationships, and painting the picture around how user
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