JOIN MYANMAR’S MOST EXCITING TEAM

Data Science Consultant 

Are you an awesome data scientist who wants to help lead the data revolution in Myanmar?

Are you interested in developing innovative methods to generate insightful analytics on the social media landscape in Myanmar?

Are you passionate about supporting civil society organizations, social enterprises, government, and the media in using technology to increase their impact?

Overview

Phandeeyar (“creation place”) is an innovation lab that is spearheading the use of technology to accelerate change and development in Myanmar. Phandeeyar invests in local technology startups, trains new entrepreneurs and builds the pool of tech talent. Phandeeyar also helps civic and social entrepreneurs, CSOs and independent media use technology to increase their impact and runs a co-working space out of its 10,000 square foot space located in the heart of downtown Yangon. Including Digital Rights Forum, StartUp Challenge and Accelerator Program, Phandeeyar hosted 251 events total in 2017 with more than 4,000 attendees.

The Role

Phandeeyar is looking for a talented professional to serve as its Data Science Consultant. The Consultant will lead the development of innovative methods to analyze social media data surrounding Myanmar’s 2020 election. The Consultant will also support Phandeeyar’s partnership with NGOs, CSOs and Government to leverage the power of data to meet their goals as well as our own. 

Key responsibilities include:

  • Collaborate with the research team to develop tools, APIs to extract and process social media data related to prominent issues during Myanmar’s 2020 election
  • Collaborate with Tech for Change team to support data cleaning, filtering and manipulation
  • Write clear documentation of the work that you have done and also “how-tos” for the rest of the team
  • Provide data science training for aspiring scientists in the community 
  • Remain up-to-date with new machine learning and data science methods

Essential Requirements

Highly organized – You’re a self-starter who takes initiative and can mobilize resources and solve problems. You can juggle multiple projects with limited supervision, often on tight timelines, and you have excellent attention to detail.

Passionate about technology and data – You should be very comfortable with datasets. You are passionate about continually learning new skills in technology, data science and data visualization.

Team Management – You must have experience in problem scoping and have the ability to break down complex, technical problems and delegate these tasks to other data scientists.

Technical Skill Requirement – 

You have strong programming skill in Python (functions, classes, modules, pip, git, Pandas, NumPy, Jupyter notebooks and version control system). 

You can formulate appropriate problems into machine learning tasks. 

You are proficient in using query languages such as SQL.

Communications – You’re a good communicator and fluent in English. You are able to communicate technical concepts effectively and concisely to non-techies. You are able to write clear documentation in English. 

Excited about our mission – We want to work with people who are excited about what we’re doing. You need to be excited about using technology and open data to improve Myanmar. If you have contributed to open source projects and/or civic tech projects before, it will be a bonus.

The Details

Location: This role is based in Yangon. It may involve some travel around the country.

Hours: Phandeeyar is itself a start-up. Many of its activities happen outside standard office hours (9am-5pm). You will need to work some evenings and weekends, however there is a “time off in lieu” policy.

Remuneration: Will be based on experience and qualifications and will be competitive for the sector.

Interested candidates can submit Phandeeyar Job Application Form. Applications are seen on an ongoing basis.

For more information please visit:
Website: www.phandeeyar.org
Facebook: FB.com/phandeeyar
Twitter: @Phandeeyar
Instagram: @phandeeyar