Instructional Technologist, Data Science Program

$57,554 - $79,166/Yr

George Washington University - Washington, DC

Part-time,Full-time - Entry Level

Washington, DC

Educational Services

About the position

The Instructional Technologist for the Data Science Program at George Washington University plays a crucial role in enhancing the educational experience of students in the program. This position involves supporting capstone projects, facilitating boot camps, managing cloud services, and collaborating with faculty and external partners to ensure the successful execution of data science initiatives. The role is designed for a highly skilled individual who is passionate about instructional technology and data science education.

Responsibilities

• Assist instructors in organizing data and setting up AWS connections for capstone projects.
• Monitor and maintain capstone project environments and resources.
• Develop and conduct summer boot camps to help students improve their Python programming and mathematical skills.
• Identify students who need additional support and direct them to appropriate courses or resources.
• Ensure the smooth operation and availability of cloud-based services and programs for data science students.
• Support and collaborate with outside partners on student data science projects, helping identify potential internship or capstone project opportunities.
• Provide technical expertise and guidance to ensure successful project execution.
• Maintain and update the capstone website regularly.
• Collaborate with faculty to showcase student work and projects on the website.
• Assist faculty members, students, and researchers with data acquisition, processing, and analysis for research projects.
• Provide technical expertise in implementing and optimizing data science workflows and pipelines.
• Contribute to the development of research proposals and grant applications related to instruction initiatives of the Data Science program.
• Develop and maintain comprehensive documentation for data science tools, processes, and best practices.
• Contribute to creating knowledge-sharing resources like tutorials, blog posts, or presentations.
• Foster a culture of knowledge sharing and continuous learning within the Data Science program.

Requirements

• Bachelor's degree in an appropriate area of specialization plus 2 years of relevant professional experience, or a Master's degree or higher in a relevant area of study.
• Proficient in Python and R programming languages.
• Extensive experience with cloud computing platforms such as AWS or Azure.
• Strong understanding of data management, data processing, and data visualization techniques.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively with faculty, students, and external partners.
• Proven problem-solving and analytical skills.

Nice-to-haves

• Knowledge of parallel computing frameworks such as Apache Spark.
• Experience in developing and delivering technical training or boot camps.
• Knowledge of machine learning algorithms and techniques.
• Experience with database management systems (e.g., SQL, NoSQL).
• Familiarity with version control systems (e.g., Git).
• Experience in web development (HTML, CSS, JavaScript) for website maintenance.

Benefits

• Comprehensive medical, dental, vision, life & disability insurance.
• Time off & leave.
• Retirement savings.
• Tuition benefits.
• Well-being programs and various voluntary benefits.