Data Science Lead Trainer - Institute of Data | New Day Jobs (Yangon, Myanmar)

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Institute of Data
Remote (Asia Time Zone Permitted)

Data Science Lead Trainer

Job Expired

Data Science Lead Trainer

Institute of Data
  • Remote (Asia Time Zone Permitted)
  • -
Salary : Login to view salary Job Expired
Job Type : Contract
Education Requirement : Bachelor Degree
Skills :
Experience : 3 to 5 years
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Job Detail

Job Description

The Institute of Data's - Data Science and Artificial Intelligence (AI) programs are life-changing educational experiences where students graduate with the skills and mind set to take on new careers in a wide variety of Data Science & AI roles. Students at the Institute are passionate about data science, often career changers who are working full time in a similar or unrelated field.

 

The Institute is looking for Lead Trainers to lead this transformative experience. Part time and full time roles available for the right candidates. The work is either in person or remote via virtual classrooms.

 

Why be a trainer for the Data Science & AI course?

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:

  • Hone your own leadership and management skills by becoming part of the team
  • Deepen your own skills by guiding students through a rigorous journey where they begin as driven beginners and leave as empowered data analysts and scientists.
  • Contribute your own expertise to a deep and broad curriculum
  • Facilitate a supportive and energetic community that lasts well beyond the course.
  • As a member of the trainer team, you will not only impact the careers of your own students who are mostly changing careers, but you’ll also have a unique opportunity to shape the potential of students.

 

Skills and Qualifications

Must Have:

  • You have previous data science or engineering teaching experience, through a course, workshop, team training, etc.
  • You are eager to shape the skills, minds, and trajectories of the newest generation of data scientists.
  • You are eager to join a fast-growing education business.
  • You have at least 3 years 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.

Nice to have:

  • You have proficiency with 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.
  • Management and/or director experience in a small business or team
  • Relevant data professional certification.

 

Responsibilities and Duties

  • Coordinate with directors with the planning and implementation of the Data Science and AI program
  • Deliver instructions up between 15 to 40 hours per 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 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 curriculum, ensuring the course remains cutting-edge and effective for students.

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