edX: Senior Data Scientist
141 Portland Street
Cambridge, MA 02139

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Were looking for an exceptional senior-level data scientist to develop data products and drive better decision making across the edX organization and for our partners. As our Senior Data Scientist on the cross-functional Engagement team, your work will support the Engagement teams mission to help learners find and succeed in courses at edX.

This is a ground floor opportunity to drive tremendous business value as we build a world-class data team. Improving the use of data is one of edXs top strategic priorities.

Responsibilities

  • Identify, implement, and drive adoption of analytics-based solutions to business problems.
  • Provide data, analysis, and recommendations to support decisions across all departments and for end customers. Influence decisions at all levels of the organization, including presenting findings to senior leadership.
  • Perform quantitative research on large data sets.
  • Mentor other data scientists, analysts, and engineers, and provide scientific support across all departments.
  • Guide and potentially participate in the software implementation of data products.
  • Innovate new ways data science can be used to support the organization and its mission.

Qualifications

  • At least 5 years of data science and/or research experience, ideally with at least 3 years in industry and/or a Ph.D. in a quantitative discipline.
  • Extensive hands-on experience working with large, real-world data.
  • Experience developing thoughtful data visualization that conveys a precise and compelling message.
  • Demonstrably strong business orientation, with a propensity toward action, and the mentality to get initial results quickly and iterate.
  • Strong programming and algorithm development skills as applied to working with large data sets (e.g. in Python, R, SQL, Spark).
  • Connoisseurship of good science: attention to experimental design, causality, bias, significance, etc.
  • Innately scrappy with big picture thinking, and an interest in solving fuzzy business problems.
  • Careful approach with close attention to detail and motivation to minimize error.
  • Excellent communication skills and a team player attitude.
  • Bonus: Experience with learning science or clickstream data.

How you will grow

  • Be part of a highly talented, collaborative, and practical data team that is always teaching and learning from each other.
  • Collaborate cross-functionally and with senior leadership on some of edX's highest visibility initiatives.
  • Focus your energy on business impact, honing your ability to use data to create quantifiable value for an organization.
  • Play a key role in transforming a company early in its analytical journey into a highly sophisticated data-driven organization.
  • Solve challenging technical problems involving large volumes of data using cutting-edge tools.
  • Dedicate your time at work to furthering an important social cause, and have a big impact on edX's sustainability.

Applicants must be able to work out of our Cambridge, MA office. Sorry, Visa sponsorship is not available.

Full-time

Employee Testimonials

Sherisse Viray
Sr. Accountant

“What I enjoy most about edX is the people. They are so friendly and often reach out to learn more about what each other's interests and hobbies are outside of work (IE world travel, hiking and skiing/snowboarding).” 

Julia Henderson
Manager of Learner Support & Operations

"I am thrilled to be working at a company where my bias to action is appreciated and encouraged. I feel truly empowered to make important decisions, and know we'll reflect and adjust our ideas continually, so we can provide great resources and a high level of support for our learners and partners."

Carol Tong
Principal Tech Writer

“I love working at edX. The work environment is diverse, open, and collaborative. I’m inspired by edX’s mission, as well as by the fact that it’s open source and a nonprofit.”