Staff Data Scientist
3 weeks ago
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 142 million registered learners as of December 31, 2023.
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.
**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. 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.
**Responsibilities**:
- Develop measurement frameworks leveraging product analytics, experimentation and statistical analysis to shape the future direction of Consumer products and inform strategic priorities.
- Own the end to end experimentation experimentation and causal inference strategy to improve learner experiences, inform product offering and pricing strategies and drive real impact.
- Contribute to the technical vision for the Consumer data science team to support organizational business goals and data team priorities.
- Collaborate with the data engineering team to improve data collection processes and ensure accurate instrumentation for measurement strategies.
- Act as a technical advisor to leadership within data science and external teams through driving innovation, defining best practices, exploring novel statistical and experimentation tactics and methodologies. Drive clarity and solve ambiguous business problems using data-driven approaches.
**Basic Qualifications**:
- MA or Ph.D. in applied math, statistics, computer science, or a related technical field
- 6+ years of experience working with data in advising product or business teams
- Proficiency in analytical tools such as R, Python, or SQL, and experience with data visualization tools
- Hands-on experience with data management and orchestration tools (Airflow, Databricks and/or dbt)
- Excellent communication and stakeholder management skills
- Proven ability to act as a thought partner and thought leader with strong problem-solving and critical thinking skills
**Preferred Qualifications**:
- Experience at EdTech or online consumer product business
- Experience in causal inference methodologies
- 2+ years of experience in providing technical mentorship to data scientists
**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
PL-1
- 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.
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