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Transform the Future of Education as a Data Scientist at Coursera, Where Your Work Impacts Millions Worldwide
Overview
Salary
No salary declared 😔
Location
Canada
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Expires
Expires at anytime
Coursera, founded by Stanford professors and now a leading online learning platform, offers universal access to top-tier education. With 148 million learners and partnerships with over 325 prestigious institutions, Coursera is at the forefront of education technology. As a B Corp, Coursera is dedicated to positive global impact and is seeking passionate individuals to join its mission-driven team, which is diverse and open to candidates worldwide with compatible time zones and legal working rights.
- Drive data-driven decision-making for business teams.
- Leverage data from millions of users to enhance learning experiences.
- Support business performance for segment General Managers and leaders.
- Translate complex data into actionable business growth strategies.
- Background in a technical field with 4+ years advising product/business teams.
- 2+ years in business analytics or similar role.
- Advanced proficiency in BI tools and scripting languages.
- Strong SQL skills and statistical software knowledge.
- Excellent communication and project management skills.
- Experience in the ed-tech sector is a plus.
To apply, candidates should be prepared for a virtual interview and onboarding process. Coursera encourages applications from individuals with diverse backgrounds and abilities.
Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 148 million registered learners as of March 31, 2024.
Coursera partners with over 325 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, Guided Projects, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in fields such as data science, technology, and business. Coursera became a B Corp in February 2021.
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.
We at Coursera 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 a seasoned Data Scientist - Business Analytics to drive and support decision-making for our business 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 be dedicated to support segment General Managers (GMs) and functional leaders in effectively managing and optimizing our business performance. Our ideal candidate possesses strong analytical skills, business acumen, and the ability to translate analysis into actionable recommendations that drive business growth and operational efficiency.
Responsibilities:
- Design visualizations for monitoring KPIs and surfacing key trends.
- Create self-serve tools for diagnosing the root cause of performance in KPIs.
- Develop an understanding of Coursera’s products, business, and learners to tie analysis to actionable recommendations.
- Assess performance against targets and benchmarks, highlighting areas of concern or opportunities for improvement.
- Provide actionable insights and strategic recommendations based on data analysis to enhance business decision-making.
- Conduct ad-hoc analysis to address specific business questions or issues as they arise.
- Present findings and recommendations to senior management and stakeholders in a clear and concise manner.
Basic Qualifications:.
- Background in applied math, computer science, statistics, or a related technical field
- 4+ years of experience using data to advise product or business teams
- 2+ years of experience as a business analytics DS or similar role, with a strong track record of data analysis and business insights generation
- 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), and at least one statistical software package (e.g. R, NumPy/SciPy/Pandas)
Preferred Qualifications:
- Familiarity with the educational technology sector, specifically with platforms like Coursera, will be considered an advantage
- Experience with orchestration tools including Airflow and DBT
- Excellent customer service / stakeholder management skills
If this opportunity interests you, you might like these courses on Coursera:
- Go Beyond the Numbers: Translate Data into Insights
- Applied AI with DeepLearning
- Probability & Statistics for Machine Learning & Data Science
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