What are the responsibilities and job description for the Data Science Assistant Professor - Remote | Mathematical Sciences position at Get It - Educational Services?
Job Overview
We invite applications for the position of Assistant Professor (Non-Tenure Track) in Data Science within our esteemed Department of Mathematical Sciences. This role presents an exciting opportunity to engage in impactful research, mentor aspiring students, and play a vital role in curriculum innovation in a dynamic academic environment. Please note that this position is subject to funding availability.
Key Responsibilities
Responsibilities
The ideal candidate will be instrumental in advancing the Data Science field, providing support to both students and faculty. The responsibilities include:
To excel in this position, candidates should possess:
Candidates must meet the following qualifications:
This position provides a unique platform for professional advancement within a leading institution focused on the development of science, engineering, and technology. You will have ample opportunities to mentor students and contribute to their academic success while participating in an engaging academic community.
Company Culture and Values
Our institution is deeply committed to fostering a diverse and inclusive environment. We welcome applications from qualified women, veterans, minorities, and individuals with disabilities, and we are dedicated to providing necessary accommodations for applicants with disabilities upon request.
Compensation And Benefits
Eligible employees will enjoy a comprehensive benefits package that includes:
Employment Type: Full-Time
We invite applications for the position of Assistant Professor (Non-Tenure Track) in Data Science within our esteemed Department of Mathematical Sciences. This role presents an exciting opportunity to engage in impactful research, mentor aspiring students, and play a vital role in curriculum innovation in a dynamic academic environment. Please note that this position is subject to funding availability.
Key Responsibilities
Responsibilities
The ideal candidate will be instrumental in advancing the Data Science field, providing support to both students and faculty. The responsibilities include:
- Teaching a load of 3-6 credits per semester, with a maximum of 9 credits annually
- Conducting collaborative research within a wider research network
- Leading professional development workshops focusing on Data Science methodologies
- Advising students majoring in Data Science
- Supervising capstone projects
- Designing and enhancing courses and curriculum for the Data Science program
To excel in this position, candidates should possess:
- Proven research expertise in areas such as:
- Machine/deep learning
- Big data mining and analytics
- Topological data analysis
- Data-driven modeling and prediction
- Rich media data processing
- Database systems for analytics
- Quantitative social science
- Statistical learning
- Proficient oral and written communication abilities
- Capability to teach using programming languages like Python and R
Candidates must meet the following qualifications:
- A PhD in Data Science, Mathematics, Statistics, or a related discipline (to be awarded by the start date)
- Prior teaching experience at the college level in mathematics, statistics, or Data Science is preferred
- Experience with health-related data is an advantage
This position provides a unique platform for professional advancement within a leading institution focused on the development of science, engineering, and technology. You will have ample opportunities to mentor students and contribute to their academic success while participating in an engaging academic community.
Company Culture and Values
Our institution is deeply committed to fostering a diverse and inclusive environment. We welcome applications from qualified women, veterans, minorities, and individuals with disabilities, and we are dedicated to providing necessary accommodations for applicants with disabilities upon request.
Compensation And Benefits
Eligible employees will enjoy a comprehensive benefits package that includes:
- Medical, dental, and vision insurance
- Retirement plan with employer contributions
- Generous leave policies, encompassing 11 holidays and 3 weeks of annual leave
- Tuition benefits for dependents and free coursework for employees (fees excluded)
- Access to wellness programs and employee assistance resources
- Potential for remote work days upon supervisor approval (for eligible roles)
Employment Type: Full-Time