Launched in 2012 by two Stanford professors, Andrew Ng and Daphne Koller, Coursera is now one of the largest online learning platforms in the world, with 168 million registered learners. Our mission is to provide universal access to world-class learning. We partner with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations and Professional Certificates degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp.
Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns.
At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. As a remote-first company, our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates.
Job Overview:
At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference to help Coursera deliver effective content discovery and personalized learning at scale. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality.
We’re looking for an experienced Data Scientist - Product Analytics to support decision-making for our product teams. This role will be leveraging the rich data captured over a hundred million learners and thousands of instructors engaging on the platform to deliver innovative, data-driven insights on how to create experiences that will better meet the needs and expectations of learners. This role will partner closely with Product Managers (PMs) who own parts of Coursera’s educator or learner experience. Our ideal candidate possesses strong analytical and dashboarding skills, familiarity with A/B testing, good product sense, and the ability to translate analysis into actionable recommendations that drive innovative product development.
Responsibilities:
- Create dashboards for tracking product metrics.
- Analyze the results of A/B tests on our product experience.
- Develop an understanding of Coursera’s products, business, and learners to tie analysis to actionable recommendations.
- Create leverage by enabling Product Managers to better self-serve data on their product area.
- Present findings and recommendations to product leadership in a clear and concise manner.
Basic Qualifications:.
- Background in applied math, computer science, statistics, or a related technical field
- 2+ years of experience as a product data scientist, analytics engineer, or business intelligence analyst
- Advanced proficiency in BI tools (e.g. Looker, Tableau, Power BI) and a willingness to learn Looker
- Excellent communication skills, with the ability to translate complex data findings into actionable insights
- Strong attention to detail and the ability to manage multiple projects simultaneously
- Strong SQL skills
- Proficiency with at least one scripting language (e.g. Python, R, Scala) and a willingness to learn Python
Preferred Qualifications:
- 4+ years of experience using data to advise product managers
- Familiarity with the educational technology sector, specifically with platforms like Coursera
- Experience with DBT
- Experience with Looker
If this opportunity interests you, you might like these courses on Coursera:
- Go Beyond the Numbers: Translate Data into Insights
- Design of Experiments
- Google Advanced Data Analytics
Compensation:
Our job titles may span more than one career level. The starting base pay for this role is between $113,480 and $150,520. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, and benefits.
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Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at [email protected].
For California Candidates, please review our CCPA Applicant Notice here.
For our Global Candidates, please review our GDPR Recruitment Notice here.
Top Skills
Coursera Toronto, Ontario, CAN Office
Toronto, Ontario, Canada
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