The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and technology transfer. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.
Data Science Course Developer (80-100%)
Your mission :
The
EPFL Extension School is looking for a
data scientist course developer and instructor
to join our team. Here’s what you’ll get to do in this role:
Develop data science and advanced analytics activities, including applications of mathematical modelling, statistical analysis and machine learning techniques (through exercises, public posts, capstone project guidance);
Guide learners in acquiring hands-on data science experience using Python (NumPy, Pandas, Scipy, Scikit-Learn, Matplotlib, Seaborn);
Apply technical expertise and leadership skills to design, develop, manage and grade learner projects using real-world large datasets and relational databases;
Design and lead workshops and hackathons, and participate in conferences to promote the EPFL Extension School, data science and digital skills to a wide audience;
Collaborate with partners from academia and the private sector to identify opportunities for development of new courses and workshops as well as learner course projects and capstone projects;
Manage additional course development and other activities to support the growth of the EPFL Extension School
The audience for the EPFL Extension School courses extends to a large, general public and the knowledge level of the learners will range from novice (no prior experience with Python and/or in data science) to intermediate (strong familiarity, possibly but not necessarily university or post-graduate level knowledge) to advanced (practitioners in the field, seeking to learn specific skills). The course developer should be able to adapt his/her approach and output accordingly. Your profile :
We expect a solid, demonstrable and practical background in all domains of data science relevant to beginner- and intermediate-level learners. In particular, we expect you to be have extensive hands-on experience with the most common tools, methods, and applications of all stages of the data science pipeline (i.e. data mining, data cleaning, data analysis, data visualisation), using Python. You will have advanced knowledge of Python and all relevant data science libraries. You will also have a proven ability to explain basic and difficult concepts in data/data science clearly and effectively to a wide audience. Your profile :
The ideal candidate also has experience with a variety of methods / models / tools relevant to data analytics, statistics and/or machine learning. Additional required qualifications:
• Background in computer science, data science, statistics, the physical sciences or other quantitative field (academic or equivalent professional experience); • Previous experience with data science projects;• Previous teaching/TA experience;• Excellent communications and relationship management / « people » skills;• Excellent written verbal presentation skills and the ability to communicate both to business and technical audiences, with a wide variety of skills / skill levels;• Strong organisational skills;• Good team player;• Self-starter, capable of autonomous time management and work;• Ability to rapidly and independently acquire new skills• Fluent English, both written and spoken;• Comfortable with developer tools: git, the command line, code editors, etc.;• Previous experience in time series analysis, natural language processing, or advanced statistics a plus;• Start-up experience a plus. Place of work :
EPFL Geneva or Lausanne Latest start date :
1 January 2019 Term of employment :
Fixed-term (CDD) Work rate :
80-100%Contact :
Application will remain open until the position is filled.
