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- Tasks: Teach core and elective Data Science courses, both in-person and online.
- Company: Join a forward-thinking institution focused on Applied Data Science education.
- Benefits: Competitive salary, opportunities for academic advising, and a supportive teaching environment.
- Why this job: Make an impact in students' lives while sharing your passion for Data Science.
- Qualifications: MS in Applied Data Science required; PhD preferred with teaching experience.
- Other info: Position is for 2 years starting August 2025; hybrid work not available.
The predicted salary is between 54000 - 62000 £ per year.
MS - Applied Data Science is seeking to hire an instructor to teach core and elective courses in our curriculum, in our residential and online program. The courses include but are not limited to IA 651: Applied Machine Learning, IA 640: Information Visualization as well as possible elective courses. The projected teaching load is 4+4. The position is for 2 years and it is planned to start in August 2025.
Responsibilities:
- In person and remote teaching of designated course sections as specified by the contact hours for each of the courses.
- Maintaining and updating syllabi for the designated courses in our program.
- Ongoing review and modification of labs, guided exercises, assignments and examination materials for designated courses.
- Conducting in person and remote office hours for each of the designated course sections.
- Help with academic advising and career search advice.
- Help with setting up and approving GA appointments and bi-weekly time cards for the students in our program.
Qualifications:
Minimal Qualifications: MS in Applied Data Science or related field. Requirements should be completed by the time work commences.
Preferred Qualifications: PhD in Data Science or related field.
Minimal Experience: 2 years of professional experience in machine learning and corporate data management and/or 2 years of experience as instructor and/or teaching assistant experience in data science courses.
Essential Skills:
- Expertise in Probability, Statistic, Visualization using R package.
- Teaching and advising.
- Python and SQL competency.
- Proficiency in using a BI package (such as Tableau or PowerBI).
- Ability to initiate tasks and work well independently.
- Excellent communication skills (written and verbal).
- Class management, grading, leading recitation sessions, lab design and management.
Physical Demands: The physical demands characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Health & Safety: All staff has a statutory responsibility to take reasonable care of themselves, others and the environment and to prevent harm by their acts or omissions. All staff is therefore required to adhere to the University's Health, Safety, and Environmental Policy & Procedures.
EEO Statement: An equal opportunity/affirmative action employer, Clarkson actively seeks and encourages applications from minorities, women and people with disabilities. All offers of employment are subject to the applicant successfully passing a background check (including, but not limited to, employment verification, educational and other credential verification, and criminal records).
Contact Detail:
Clarkson University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Visiting Instructor- Data Science
✨Tip Number 1
Familiarise yourself with the specific courses you'll be teaching, such as Applied Machine Learning and Information Visualization. This will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with current or former instructors in data science programs. They can provide insights into the teaching environment and expectations, which can be invaluable during your application process.
✨Tip Number 3
Showcase your teaching philosophy and methods during any discussions or interviews. Highlight how you engage students in both in-person and remote settings, as this is crucial for the role.
✨Tip Number 4
Prepare to discuss your experience with tools like Python, SQL, and BI packages such as Tableau or PowerBI. Being able to articulate your hands-on experience with these technologies will set you apart from other candidates.
We think you need these skills to ace Visiting Instructor- Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data science, particularly any teaching roles or professional experience in machine learning and corporate data management. Use keywords from the job description to align your skills with what they are looking for.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are passionate about teaching data science. Mention specific courses you are excited to teach and how your background aligns with the responsibilities outlined in the job description.
Showcase Your Skills: In your application, emphasise your expertise in Probability, Statistics, and Visualisation using R, as well as your proficiency in Python and SQL. Provide examples of how you've applied these skills in previous roles or projects.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for an academic role.
How to prepare for a job interview at Clarkson University
✨Showcase Your Teaching Experience
Make sure to highlight any previous teaching experience you have, especially in data science or related fields. Discuss specific courses you've taught and how you engaged students, as this role involves both in-person and remote teaching.
✨Demonstrate Technical Proficiency
Be prepared to discuss your expertise in key areas such as Python, SQL, and data visualisation tools like Tableau or PowerBI. You might be asked to provide examples of how you've used these skills in practical scenarios.
✨Prepare for Course Development Questions
Since the role involves maintaining and updating syllabi, think about how you would approach course design. Be ready to discuss your ideas for labs, assignments, and how you would modify existing materials to enhance student learning.
✨Communicate Clearly and Confidently
Excellent communication skills are essential for this position. Practice articulating your thoughts clearly and confidently, especially when discussing complex topics in data science. This will help demonstrate your ability to convey information effectively to students.
