Lead Data Science Instructor - US Only Remote

Please note: This is a 100% remote role with no on-campus requirements.

Vision and Values:

Galvanize is a dynamic learning community for technology. Our community is where people and companies with the guts and smarts to create real-world change congregate and inspire each other. Our goal is to make opportunities in technology available to all those with the aptitude, determination and drive. Across our 8 beautifully designed urban campuses, we offer a unique combination of education, workspace, and networking. Galvanize campuses are not simply places to work; they are environments of active engagement, learning and growth.

Our Data Science Instructors train technical professionals with programming experience to solve data science problems utilizing innovative educational techniques. We are looking for passionate educators and practical problem solvers with demonstrated flexibility and curiosity. Join us in building the world's hub for education in data science and data engineering.

As a Data Science instructor at Galvanize, you will:
  • Deliver lectures and tutorials on scientific Python, SQL, probability, statistics (Bayesian and frequentist), machine learning, and data engineering.
  • Lead day-long sprints, maintaining a strong presence in the classroom and managing other instructional staff.
  • Deftly and patiently field student questions and provide feedback in lectures and office hours.
  • Build and refine data science curriculum and assignments.
  • Utilize student feedback and experimentation to continuously improve teaching and assessment methods.
  • Evaluate new tools, packages, and tutorials for use in the curriculum.
  • Contribute to local evangelism, admissions, and nurture activities, such as attendance at meetups, speaking at conferences, leading workshops (day time and/or evening), etc.

Professional Development:
  • At Galvanize, we strive to provide meaningful professional development opportunities to all of our employees. Here are just a few of the ways you will continue to grow and level-up as a data scientist and a teacher:
  • Theres no better way to learn than to teach! Youll be amazed at how much youll develop skills you thought you were already an expert in just by helping students and planning lessons.
  • Opportunities to work with and learn from other data science and web development instructors in a highly collaborative and intellectually rich environment.
  • Previous projects have involved: Machine Learning, Deep Learning, Data Engineering and Architecture, Applied Statistics and Statistical Modeling.
  • Become the best instructor you can be with ongoing training and support.

Expected Experience:
  • Multiple years of experience in industry in a Data Scientist or Software Engineer role
  • Master's or PhD in a quantitative discipline such as engineering, statistics, or mathematics
  • Strong understanding in the topics we teach: scientific Python, probability, statistics (Probability, A/B Testing, Bayesian methods, Regression methods, Time Series), SQL, Machine Learning (Decision Trees, Random Forest, Boosting, Support Vector Machines, Clustering, Natural Language Processing, Recommenders, Graphs), Data Engineering (Hadoop, Hive, and MapReduce), Data Visualization (d3), and data at scale.
  • For more details on the program go to: http://www.galvanize.com/courses/data-science/#.Viqz4LQR8UU
  • Outstanding communication skills
  • Multiple years of experience teaching a quantitative subject strongly preferred

Galvanize provides equal employment opportunities (EEO) to all employees and applicants for employment. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

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