Data Science Instructor

14 hours ago

Dubai, United Arab Emirates Data Society Full time

The Data Science Instructor is the brand ambassador for our company and it is your responsibility not only to deliver dynamic lessons online and in-person but to also create an environment that is conducive to the success of every student. We provide all the instructional materials that you will need, including slides/content material, exercises, and quizzes - so there is no content creation responsibility. Rather, we encourage you to bring your experience into the classroom.

**Project/Location**

Data Society is looking for an instructor(s) to teach on-site in Dubai, UAE There are opportunities to teach several courses covering varied topics. Dates for these trainings have not been confirmed but if you are interested, please include your availability when you apply. Instructors do not have to live in the UAE but be willing and able to travel. You must have the ability and comfort to present to an exclusively male audience.

**Courses Instructed**
- ** Data Science for Executives**, a six hour course that helps leaders understand the benefits of building a data driven culture, provides a bird's eye view of the power of data. The ideal instructor will provide an introduction to data analytics, including defining data, assessing data quality, and finding data resources. They will then help learners plan and build a data driven culture within their own teams.
- A deep working knowledge of Python is required to teach **Intro to Python** and **Intermediate Python**. Intro to Python will provide students with the ability to program in Python, perform basic operations and create lists, tuples, sets, and dictionaries. Intermediate Python will delve deeper into the programming language. Students will learn to use control flow structures, conditional statements and blocks, loops and implement functions in Python.
- ** Data Wrangling in Python **will allow students to leverage Python's libraries to explore and manipulate data. The instructor must understand use cases, object types, array manipulation for both NumPy and Pandas.

**Who we are looking for**:
You are a data scientist and are excited to pass on your knowledge and experience to a professional audience. You are passionate about STEM and believe in making high-quality, intuitive education accessible to all. You are passionate about helping students achieve their objectives, and want to have a part-time job where you interact with professionals and help them solve the challenges that they face. You are a dynamic speaker who is comfortable working in a professional environment, delivering training in front of senior staff in the federal government and Fortune 500 companies. You’re excited to be part of a hard-working team and are willing to put in the extra effort to get the job done.

**The Company**

Data Society is a rapidly growing, DC-based, EdTech startup. We are a dynamic, fast-paced team of data scientists and education experts who are shaking up the way data analytics is taught to professionals and the way online education is delivered. We are a Forbes Top Ten EdTech Company to watch, Technical.ly DC Sciences Group of the Year, and have received awards for our work with the Commerce Data Academy.

**Affirmative Action/EEO statement**

At Data Society, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our products, and our community. Data Society is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.

**We do not accept unsolicited resumes from third-party recruiters.**

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