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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 - 63000 £ 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).
Visiting Instructor- Data Science employer: Clarkson University
Contact Detail:
Clarkson University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Visiting Instructor- Data Science
✨Tip Number 1
Network with professionals in the data science field, especially those who have experience in teaching. Attend conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in data science education.
✨Tip Number 2
Familiarise yourself with the specific courses mentioned in the job description, such as Applied Machine Learning and Information Visualization. Consider creating sample lesson plans or projects that showcase your teaching style and expertise in these areas.
✨Tip Number 3
Demonstrate your proficiency in the required skills by engaging in relevant online communities or contributing to open-source projects. This will not only enhance your knowledge but also provide tangible evidence of your capabilities to potential employers.
✨Tip Number 4
Prepare for potential interviews by practising common teaching scenarios and questions related to data science. Be ready to discuss your teaching philosophy, how you engage students in both in-person and remote settings, and your approach to academic advising.
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. Emphasise your skills in Python, SQL, and BI tools like Tableau or PowerBI.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the responsibilities and qualifications listed in the job description. Mention your teaching philosophy, how you plan to engage students in both in-person and remote settings, and your approach to course material development.
Highlight Relevant Experience: In your application, clearly outline your teaching experience and any relevant projects or roles that demonstrate your expertise in applied data science. Include specific examples of courses you've taught or developed, and any innovative teaching methods you've employed.
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 are crucial in an academic setting.
How to prepare for a job interview at Clarkson University
✨Showcase Your Teaching Experience
Make sure to highlight any previous teaching roles or experiences you have had, especially in data science. Discuss specific courses you've taught and how you engaged students, as this will demonstrate your capability to fulfil the role effectively.
✨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 even want to bring examples of projects or assignments that showcase your skills in these areas.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and teaching strategies. Think about how you would handle various classroom situations or adapt your teaching methods for different learning styles.
✨Engage with the Interviewers
Remember that interviews are a two-way street. Prepare thoughtful questions about the curriculum, student engagement strategies, and departmental goals. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.
