Data Scientist, Decision Science

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 92 million registered learners as of Sept. 30, 2021. Coursera partners with over 250 leading university and industry partners to offer a broad catalog of content and credentials, including Guided Projects, courses, Specializations, certificates, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in many high-demand fields, including data science, technology, and business. Coursera became a B Corp in February 2021.

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. We define, develop, and launch the models and algorithms that power content discovery, personalized learning, and machine-assisted teaching and grading. 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 talented, creative, and collaborative data scientist to support decision-making for our product and business teams — leveraging the rich data captured as tens of millions of learners and thousands of instructors engage on the platform to deliver innovative, data-driven insights on how to create experiences that will better meet the needs and expectations of learners. Our ideal candidate has excellent analysis and statistical modeling skills, strong written and verbal communication, and an interest in expanding the reach and quality of online education.

Responsibilities:

• Evaluate the success of key product and business initiatives (e.g. determining whether new product listing pages better serve career switchers or measuring the success of efforts to reduce contact rate by improving the learner payment flow)
• Estimate the potential impact of proposed projects in order to inform other teams’ prioritization decisions
• Develop our understanding of Coursera’s products, business, and learners by analyzing learner behavior to uncover patterns and identify opportunities for improvement
• Work closely with data engineering and operations teams to ensure that new projects and products are launched with clear instrumentation to support experimentation and measurement plans
• Partner with other data scientists to develop measurement plans for new data product launches and to share context from different areas of the business and build a more complete and consistent understanding of what data tells us about our learners

Basic Qualifications:

• 2+ years of experience using data to advise product, business, or services teams
• 1+ year of experience applying statistical inference techniques to business questions

Preferred Qualifications:

• Background in applied math, computer science, statistics, or a related technical field
• Proven business intuition, cross-functional communication, and project management
• Skilled with applied statistics and data visualization
• Proficient with at least one scripting language (e.g. Python)
• Proficient with at least one statistical software package (e.g. R, NumPy/SciPy/Pandas)
• Proficient with relational databases and SQL

If this opportunity interests you, you might like these courses on Coursera:

• Marketing Analytics
• Data-Driven Decision Making

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].

Please review our CCPA Applicant Notice here.