Who is DevLeague?

DevLeague is the leading boot camp in Hawaii offering high-intensity, workforce-aligned programs in Web Development, Enterprise Development, Big Data Analysis, and Cyber Security. As a Big Data Analytics instructor, you will bring your subject matter expertise and experience in the field to bear as you guide 10-20 students through our xx -week, part-time boot camp. During this course, students will gain new skills through mentorship and apply those skills to challenging projects. 

Our program takes students through the theoretical underpinnings of data analytics, including probability, statistics, predictive analytics and introductory machine learning concepts, and then through in-demand analytics tools, such as Excel, R, MySQL, and Tableau. Our team guides students who have familiarity with data analytics to basic theoretical concepts and gives them fluency in advanced Excel, SQL, and data concepts. 

Role & Responsibilities

• Plan, prepare and deliver instructional lessons and activities that facilitate
• active learning experiences.
• Use varied instructional resources and methods to meet students' learning needs in a student-driven classroom.
• Support DevLeague’s mission by creating a learning environment of mutual respect and fairness, while encouraging creative and critical thinking
• Build and refine data analytics curriculum and assignments
• Utilize student feedback and experimentation to continuously improve teaching and project methods
• Evaluate new tools, packages, and tutorials for use in the curriculum
• Attend team meetings outside of class time.

Requirements

• Are passionate about student outcomes and want to solve big problems in workforce development
• Are a go-getter. You have a tenacious work ethic and are excited about working toward aggressive short-term and long-term goals
• Have at least five years of deep data analytics experience (e.g. data analyst, data scientist, management consultant, financial analyst) and some instruction, trainer, or mentor experience
• Have a solid understanding of basic probability and statistics, including topics such as conditional probability, distributions and outliers, confidence intervals and hypothesis testing, linear and logistic regression
• Are fluent in Excel, SQL, R, machine learning, or Tableau
• Have a good understanding of predictive analytics and associated processes, including: data pre-processing and cleaning, exploratory data analysis, and model training, testing and evaluation
• Are conversational in Python and Big Data concepts
• Are a creative thinker.
• Self-motivated, enthusiastic, patient and passionate about helping students discover the link to  a better career.
• Possess strong interpersonal skills and willing to work closely with all team members
• Strong work ethic and high work standards