Senior Data Scientist, Enterprise Insights

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 - Enterprise Insights to support decision-making for Coursera’s B2B sales and marketing leaders. Our Enterprise (B2B) product is sold to Businesses, Campuses, and Governments who use those licenses to give access to their employees, students, and citizens respectively. This role entails leveraging the rich data from thousands of enterprise customers and millions of learners to shape our product and business strategy. This role sits in a team of data scientists and partners closely with director-level sales and marketing leaders. Example projects include causal inference analyses and propensity models. 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:

• Build causal inference and propensity models in production
• Develop metrics that capture the effectiveness of strategic initiatives in the business
• Produce visualizations and ad-hoc analyses to answer pressing business questions and to frame problem spaces
• Develop an understanding of Coursera’s products, business, and learners to tie analysis to actionable recommendations
• Partner with product and business leadership, using data to influence strategy across different product and business lines
• Present findings and recommendations to business leadership in a clear and concise manner

Basic Qualifications:. 

• Masters degree in statistics, computer science, econometrics, or a related technical field
• 4+ years of experience as a product or business data scientist
• Advanced proficiency in a statistical programming language (e.g. Python, R, Julia)
• Intermediate 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

Preferred Qualifications:

• PhD in Statistics, Economics or a related field
• Familiarity with the educational technology sector, specifically with platforms like Coursera
• Experience with orchestration tools including Airflow and DBT

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

• Go Beyond the Numbers: Translate Data into Insights
• A Crash Course in Causality
• Applied Data Science with Python

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