Open Learning (OL) was created to transform teaching and learning at MIT and around the globe through the innovative use of digital technologies
Through MITx on edX, OpenCourseWare, and Residential MITx, OL facilitates a wide range of experiments and enables distillation of research results from an unprecedented flood of online data, in many ways. The results of our research efforts inform and guide our digital learning efforts on campus and beyond.
As part of the OL Engineering team, the Data Scientist will support the OL business units and researchers parsing, analyzing, investigating, interpreting, modeling, and extracting knowledge from large volumes of data obtained from online, blended and residential courses
- Extract, parse, analyze, investigate, interpret, and extract knowledge from large volumes of data obtained from online, blended and residential courses.
- Work closely with Engineering team to develop and maintain the existing OL analytics platform
- Work closely with Engineering team to design, implement and maintain scalable software to transform and integrate large complex datasets into a reliable, accessible data infrastructure
- Ensure integrity, security and up-time of all databases and data. Establish secure workflows for the transfer and storage of data. Develop secure, permissioned systems to present data and results to different audiences at OL / MIT.
- Assess data needs across OL and learning researchers. Conduct ad-hoc analysis, visualizations, and data presentations to develop standard, repeatable reports with customized parameters
- Work with OL business units, the Digital Learning Lab, Institutional Research and others to define data needs and requirements
- Work closely with technology partners including OL Engineering, the Senior Associate Dean for Digital Learning, MIT Information Systems and Technology, edX and others on management of these data systems
MINIMUM REQUIRED EDUCATION AND EXPERIENCE:
- B.S. or higher in Computer Science or related technical field (or equivalent work experience). Minimum 7 years relevant programming experience required.
- Proficiency in at least one programming language: Python, R, Matlab , Stata
- Strong knowledge of relational and non-relational database systems and SQL
- Experience in designing, developing, delivering and maintaining data management tools and systems
- Good understanding of the full web technology stack
PREFERRED EDUCATION AND EXPERIENCE:
- Comfortable with Unix/Linux as a development environment.
- Experience with Google’s BigQuery
- Familiarity with source code control systems like GIT, Subversion, Mercurial.
- Github profile or link to open source work
- Experience in Software Development Life Cycle and interactive methodologies.
- Excellent communication skills
- Highly curious self-starter, with strong desire and ability to solve business and research problems
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, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.