In your role, you will:

• Use data mining to discover information hidden within large datasets
• Build, optimize, and evaluate predictors using machine learning techniques
• Coordinate with developers in transferring new algorithms to production
• Present data analysis results to existing and prospective clients

More specifically you’ll:

• Analyze datasets consisting of clickstream measurements and social discussions generated by learners, and course content created by instructors
• Apply regression analysis to discover relationships between learning behavior and performance
• Tailor discriminative and generative machine learning algorithms to the science of learning
• Collaborate with the development team weekly, providing pseudocode and/or code of new methods that will be transferred to production systems
• Join calls with clients as needed to discuss current areas of exploration specific to their datasets
• Write technical reports, presentations, and white papers of results

Minimum qualifications include:

• Master’s degree in Computer Science / Engineering, Statistics, Applied Mathematics, or related, with a focus on machine learning and data mining topics, or
• Bachelor’s degree with 5+ years of experience with data science on real datasets
• Ability to identify relationships within large datasets that are not obviously related
• Solid programming experience with Python, Matlab, or R, and with Java, C, or C++
• Working knowledge of database technologies such as SQL
• Strong passion and enthusiasm for learning technologies
• Strong interpersonal skills

Additional, preferred qualifications include:

• Doctoral degree in Computer Science or related, with an emphasis on data science research
• Knowledge and experience with distributed computing technologies (e.g., AWS, Hadoop, Spark)
• Prior experience working with learning technologies and/or datasets from learning scenarios (such as in higher education, corporate training, etc.)
• Product and business development experience

What we value:

Zoomi values passion, agility, quality, customers, innovation, trust, meritocracy and EQ. We are in search of people that are inventive, autonomous, motivated and comfortable with a little bit of ambiguity.