Data Scientist Research Faculty

We are seeking a highly motivated  to join a federally funded project at Clark University focused on advancing interdisciplinary data science education and real-world learning. The successful candidate will serve as the primary data scientist and a member of the project leadership team, working closely with the PI and Co-PI to plan, manage, and review implementation of project activities. This role offers a unique opportunity to integrate and further develop expertise in teaching, applied research, interdisciplinary collaboration, and community engagement while contributing to the advancement of data science education and workforce development.

The Data Scientist Research Faculty will play a central role in shaping and delivering innovative educational experiences. Responsibilities include collaborating with disciplinary faculty on developing discipline-specific data science modules for use in a variety of courses, teaching or co-teaching a project-based data science course that integrates real-world projects and relevant theories and methodologies, and mentoring undergraduate students engaged in applied data science work.

In addition, the Data Scientist Research Faculty will be involved in the design, development, and maintenance of an online platform for resource sharing and community learning, supervising student assistants on related tasks. The role also involves organizing and contributing to collaborative workshops with educators, students, and community partners.

This is a full-time, in-person, 12-month position funded by NSF. The start date is flexible, but no later than January 5, 2026. The appointment will run through approximately August 31, 2028, contingent upon satisfactory performance. Questions about the position may be directed to ds@clarku.edu.

Requirements :

Required Qualifications

• Master's degree or higher in data science, computer science, statistics, or a closely related field
• Strong technical expertise in data processing pipeline, machine learning, and programming tools commonly used in data science
• Demonstrated ability to manage data science projects from planning through implementation, evaluation, and, when needed, improvement
• Experience teaching, co-teaching, or mentoring students or junior colleagues in academic or training settings
• Strong communication and collaboration skills, with the ability to work effectively across disciplines
• Organizational skills to coordinate multiple project components and supervise student assistants

Preferred Qualifications