Senior Data Scientist

Job Description

Coursera is scaling a global platform to provide universal access to the world’s best education, and we’re motivated by the passion and mission to transform lives through learning. Our platform has reached over 30 million learners worldwide and we have partnered with 150+ elite universities around the globe with over 2,000 courses in our catalog. We offer Courses, Specializations, Certificates, and Degrees to meet the needs and goals of the diverse learners who come to Coursera.
In 2016, we began offering fully accredited online Masters degrees which ​provide ​a​ more convenient, lower-cost,​​ “stackable”​ means of earning credentials identical ​to their ​​traditional​ on-campus​​ counterparts. We also launched Coursera for Business, partnering with enterprise companies around the world to provide access to curated skill development for their employees.
The Data Science team owns the quantitative measurement, experimentation, and inference that informs Coursera's product and business direction; builds the statistical models and machine learning algorithms that power content discovery and an engaging, scalable learning experience; and empowers partners and enterprise customers with on-platform analytics and direct data access.
We are looking for a talented and creative data scientist with a sharp eye for UX design, strong algorithmic and analytic skills, and an interest in expanding the reach and quality of online education by building the models and algorithms that power our discovery and learning products. Our ideal candidate shares our passion for education, possesses a strong statistical and computational skill set, and is collaborative and impact-driven. In this role, you’ll be directly involved in ideation, model development, and evaluation of discovery and learning data products

You personally exhibit a conviction that the world needs Coursera to be wildly successful and alignment to our core values:

    • Betterment: a tireless pursuit to drive results
    • Boldness: take risks and act decisively
    • Deep Honesty: invite and offer candid feedback in order to learn, change, and grow
    • Solidarity: recognize that we are part of something bigger than ourselves and are committed to our mission

Your responsibilities:

    • Identifying, developing, and testing model-based advancements in personalized content recommendations and on-platform catalog search
    • Improving and expanding key learner and content metadata to power personalization, including learner ability, course difficulty, skills taught / learned
    • Prototyping, building, and iterating on models that feed our learning product and improve the experience for our 30M+ learners (e.g., diagnostics to efficiently measure skill level, triggered behavioral and pedagogical interventions, personalized deadlines, automated review materials)
    • Working cross-functionally with engineers, product managers, and other data scientists on our core discovery and learning products.

Your skills:

    • Solid background in applied math, computer science, statistics, or related technical field
    • Deep applied statistics and modeling skills
    • Strong computational skills
    • Proficient with at least one scripting language (e.g., Python) and at least one statistical software package (e.g., R)
    • Proficient with relational databases and SQL
    • Excellent communication and project management skills
    • Familiarity with domain-specific technologies and challenges in discovery and/or personalized learning preferred
    • 4+ years of industry experience preferred

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