Part-Time Data Science Teaching Assistant

Job Summary:

Our Data Science Teaching Assistant (TA) position is a dynamic opportunity that combines your passion for teaching with your data science experience. You’ll interact with professionals across countries and industries to help them understand how they can use data science to advance their careers and transform how industries are run. This includes supporting training delivery and student needs to reach their objectives and learn these critical data skills. Your position is key in communicating the students' needs to instructors and maintaining a steady focus on opportunities to enhance the student experience. While we are currently running all of our training programs online, there may be opportunities for travel once it is deemed safe to do so. This position is ideal for a graduate student, as it will currently operate an estimated 5 hours per week.

Responsibilities:

• Supporting engaging and intuitive onsite and live-streaming trainings for a professional audience
• Supporting students via email during workshops and outside of training sessions
• Learning of additional client needs through conversations with students 
• Working with the instructional design and data science teams to develop and improve content
• Occasionally leading a training session as needed

Who you are:

• You are excited to pass on your knowledge and experience to a professional audience.
• You are passionate about STEM and believe in making high-quality, intuitive education accessible to all.
• You are passionate about helping students achieve their objectives and want to have a job where you interact with professionals and help them solve the challenges that they face.
• You are a strong communicator who is comfortable working in a professional environment, providing a high level of support for students to help them achieve their objectives.

Skills you bring:

• Graduate or in-progress graduate degree in Data Science, Data Analytics, or Information Systems, or a related degree program
• Fluency in Python programming
• Expertise of key machine learning techniques including clustering, classification, regression, text mining, and neural networks Knowledge of how above techniques can be applied to solve industry problems
• Expertise in Excel, SQL, Tableau, and R programming is recommended

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. 

Affirmative Action/EEO statement 

At Data Society, we don’t just accept differences - we celebrate them, we support it, and we thrive on it for the benefit of our employees, our products, and our community.  Data Society is proud to be an equal opportunity workplace and is an affirmative action employer.  We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. We do not accept unsolicited resumes from third party recruiters.