Kaplan | Hiring | Part Time Data Science Instructor | United States | BigDataKB.com | 2022-09-28

Job Location: United States

Job Title

Part Time Data Science Instructor

Job Description

Metis is hiring a Part-Time Data Science Instructor to support one or more of the following: teach our Bootcamp Prep courses, teach our Corporate Training courses, and/or support our Online Flex model. We are looking for someone who loves and excels at teaching and supporting students as they work on projects in Python, Math and various Data Science topics which include Exploratory Data Analysis, Linear Regression, Classification Models, Unsupervised Models, Natural Language Processing, Deep Learning, Big Data and others. This person will be passionate about teaching others to get started or grow in their data science journey, and are fun to be around and work with. An ideal instructor should be quick to learn and adapt, have strong communication skills, is technically knowledgeable, and behaves in a professional manner.

Responsibilities

Metis Part-Time Data Science instructors are responsible for providing incredible and inspiring Data Science instruction and mentorship. Throughout the year, instructors will work on one or more of the following: lecturing, curriculum development for new and existing courses, hosting office hours, mentoring students, grading projects, managing Teaching Assistants, assisting with marketing, and others on an hourly basis.

Specific Responsibilities Can Include

  • Delivering the Bootcamp Prep or Corporate Training course lectures
  • Mentoring students one-on-one in the development of their projects
  • Leading course discussions
  • Providing personalized support to students
  • Managing a Teaching Assistant
  • Hosting office hours
  • Improving the quality of our curriculum
  • Grading students deliverables
  • Participating in marketing activities

Ideal Applicant

  • Is a data scientist with outstanding knowledge of and experience in Python, Calculus, Linear Algebra, Probability, Statistics and various Data Science concepts and algorithms which include supervised and unsupervised learning, dimensionality reduction, exploratory data analysis, and programming best practices
  • Has solid data science industry experience
  • Is equally passionate about data science and teaching
  • Strong communication skills
  • Preferably has teaching experience alongside data science
  • Approaches problems with a design perspective
  • If applicable host Mock Interviews

Perks of the Role

  • Part of a team that is transforming education
  • Flexible hours, including mix of teaching and mentoring
  • Competitive compensation package

Location

Remote/Nationwide, USA

Additional Locations

Employee Type

Employee

Job Functional Area

Instructors

Business Unit

Kaplan is an Equal Opportunity Employer. All positions with Kaplan are paid at least $15 per hour or$31,200 per year for full-time positions. Compensation for specific positions are based on job level, skills, years of experience, and education, among other factors. Additionally, certain positions are bonus or commission eligible. Information regarding benefits can be found here.

Diversity & Inclusion Statement

Diversity inspires innovation and growth in the Kaplan community. Kaplan strives to be a model employer for inclusiveness. Not only does Kaplan value its employees for their professionalism and skills, but also for the unique viewpoints they bring to the Organization. Kaplan’s employees bring diverse perspectives, ideas, and backgrounds that give Kaplan a competitive edge in anticipating and exceeding our students’ needs in today’s global market. Learn more about our culture.

Apply Here

Submit CV To All Data Science Job Consultants Across United States For Free

๐Ÿ” Explore All Related ITSM Jobs Below! ๐Ÿš€ โœ… Select your preferred “Job Category” in the Job Category Filter ๐ŸŽฏ ๐Ÿ”Ž Hit “Search” to find matching jobs ๐Ÿ”ฅ โž• Click the “+” icon that appears just before the company name to see the Job Detail & Apply Link ๐Ÿ“๐Ÿ’ผ

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *