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The Learning Community for Technology

Principal Data Scientist, Lead Data Science Instructor

$105k – $125k
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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, etc
Professional Development:
At Galvanize, we strive to providing 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:
There’s no better way to learn than to teach! You’ll be amazed at how much you’ll 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. Rub shoulders and cross-pollinate.
Keep your skills sharp while working with fortune 500 clients by helping translate and solve their top business problems into solvable data and modeling technique. Become the best instructor you can be with ongoing training and support.
Expected Experience:
Multiple years of experience in industry in a data scientist 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.
Outstanding communication skills
Multiple years of experience teaching a quantitative subject preferred
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 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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