Senior Data Scientist, edX

Massachusetts, United States
19 Sep 2018
End of advertisement period
19 Nov 2018
Contract Type
Full Time

edX, to develop data products and drive better decision making across the edX organization and for its partners.

Responsibilities include identifying, implementing, and driving the adoption of analytics-based solutions to business problems; performing quantitative research on large data sets; mentoring other data scientists, engineers, and analysts and providing scientific support across all departments and for end customers; guiding and potentially participating in the software implementation of data products; and innovating new ways data science can be used to support the organization and its mission.  

This is an unusual ground floor opportunity to drive tremendous business value as edX builds a world-class data science team and establishes itself as a thought leader in the emerging field of learning science.  The position offers an opportunity to have a major impact on edX’s mission of providing high quality education to everyone, everywhere. 

Job Requirements

REQUIREDat least five years of data science research experience, ideally with at least three years in industry and/or a Ph.D. in a quantitative discipline; hands-on experience working with large, real-world data; demonstrably strong business orientation; strong programming and algorithm development skills as applied to working with large data sets (e.g., Python, R, SQL, Spark); initiative; a propensity toward action and iteration; attention to experimental design, causality, bias, significance, etc.; big picture thinking and an interest in solving business problems; meticulous attention to detail and motivation to minimize error; excellent communication skills; and desire to work as part of a team. Experience with learning science or clickstream data a plus.

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.