Data Science Immersive Instructor

If you are looking to make a life-changing impact by doing what you know and love, this is the position for you. Through this unparalleled opportunity, you will:��� Deepen your own skills by guiding students through a rigorous journey where they begin as driven novices and leave as empowered data analysts and scientists��� Contribute your own expertise to a deep and broad global curriculum maintained by a team of talented data science instructors across multiple industries��� Facilitate a supportive and energetic community that lasts well beyond the course��� Hone your own leadership skills by working with an instructional team and classroom communityAs a member of the instructional team, you will not only impact the careers of your own students, but you ll also have a unique opportunity to shape the potential of students on a global scale through contributions to our global curriculum.Skills and Qualifications��� Must Haves:��� You have at least 6 months of professional data science experience.��� You are an expert in SQL, Python, and related Python libraries (pandas, numpy).��� You have domain expertise in statistics, mathematics, and probability.��� You can build and apply statistical models in python using machine learning libraries, such as scikit-learn and statsmodels.��� You have a deep understanding of statistical hypothesis testing and experimental design, data visualization techniques and tools (i.e. matplotlib, bokeh, etc), and manipulation of large data sets.��� You can demonstrate and explain the function of machine learning algorithms such as regularized regression, naive bayes, decision trees, ensemble methods, KNN, K-means clustering, and neural networks.��� You are the person your colleagues naturally gravitate to when they are trying to figure something out.��� You are eager to shape the skills, minds, and trajectories of the newest generation of data scientists.��� Nice to haves:��� You have proficiency with NLP python libraries such as NLTK; Hadoop or Apache Spark; D3.js or R.��� You are on top of industry trends in big data, machine learning, deep learning, and AI.��� You have previous data science or engineering teaching experience, through a course, workshop, team training, etc.Responsibilities and Duties��� Plan and implement a 12-week curriculum in conjunction with baseline materials and your local instructional team.��� Deliver instruction 5 days a week, including teaching, advising, and content development.��� Work closely with your instructional team to provide students with meaningful and prompt feedback on their progress.��� Collaborate alongside GA staff in order to best meet the needs and learning styles of your students.��� Guide students through the development of real world projects that will showcase their abilities to hiring managers.��� Facilitate a dynamic and collaborative classroom community.��� Inspire students to persevere through the challenges of learning complex subjects.��� Contribute to the material and direction of an expanding global curriculum, ensuring the course remains cutting-edge and effective for students worldwide.