Data Scientist, Growth

| San Francisco
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Coursera was founded by two computer science professors at Stanford with a vision of providing life-transforming learning experiences to anyone, anywhere. It is the world’s largest online learning platform for higher education. 200 of the world’s top universities and industry educators partner with Coursera to offer courses, Specializations, and degrees that empower over 48 million learners around the world to achieve their career goals. Over 2,200 companies use the company’s enterprise platform Coursera for Business to transform their talent. Coursera is backed by leading venture capital firms such as Kleiner Perkins Caufield & Byers, New Enterprise Associates, GSV Capital, International Finance Corporation, Laureate Education Inc., and Learn Capital.

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 driven 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. Our ideal candidate is an independent, analytically-minded individual with strong analysis and statistical modeling skills, who shares our passion for education.

Your Responsibilities

  • Modeling user behavior to identify and prioritize product and business opportunities to drive growth of degrees
  • Building predictive models to identify and nurture potential degree learners
  • Designing, testing, and implementing high leverage degree growth interventions
  • Working cross-functionally with engineers, designers, and product managers on our core degree products

Your Skills

  • Background in applied math, computer science, statistics, or related technical field, and 2+ years of industry experience
  • Strong skills in applied statistics, data visualization, and predictive modeling
  • Strong product intuition and cross-functional communication skills
  • 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
  • Excellent communication and project management skills

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.

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Location

Courserians can work remotely, work from one of our offices, or split their time between the two.

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