Data Scientist

Organization

Bluesquare is a fast growing technology company focusing on Global Health. Bluesquare’s goal is to help Global Health resources get where it matters the most. We partner with Global Health Funds, national governments, health service purchasers, and NGOs, to help them make smarter health investments. Bluesquare’s technologies are in use in more than 30 countries and support +60 different clients, including the World Bank, the WHO, the Global Fund to Fight HIV, TB and Malaria, the Bill and Melinda Gates Foundation, leading NGOs and consultancies.

For more information about who we are: https://bluesquarehub.com/

Mission and description of the role

We are looking for a Data Scientist with experience in data analysis and visualisation to join our data science team.

Start date: as soon as possible.

Location: Based in Brussels (preferably) but willing to travel to other countries in order to support Bluesquare’s projects. Bluesquare takes into account the safety risks of its employees in the areas concerned.

Team: We are a horizontal company with more than 70 team members in multiple countries. The Data Science team is composed of friendly, supportive and enthusiastic young individuals distributed across Europe and Africa.

We value ownership, autonomy, flexibility, communication and teamwork. We strive for excellence in the solutions we provide for pressing challenges, emphasizing continuous self-improvement and supporting the individual development of our team members. Nevertheless, we firmly prioritize work-life balance, well-being, and recognizing each person as a unique individual for an optimal working environment.

To apply, please send your CV and motivation letter to datascientistbru@bluesquare1.odoo.com.

Roles & Responsibilities

Data Management & Analysis :
- In collaboration with the data science team, develop script in R or Python for data cleaning, data processing, data integration and data quality screening.
- Apply your technical skills in DHIS2 to contribute to improving the management of health data.
Data visualisation : set up dashboards using different BI and visualisation tools (Tableau, Power BI..) to answer clients’ needs, and develop customised applications for data visualisation.
Quality control : review and automate scripts to ensure quality control of the released data integration work.
Technical writing: write code documentation, users guidelines, articles and other materials that will be useful to communicate with our clients and other partners.
Capacity building: train technical stakeholders in the use of various open-source and in-house Data solutions.
Data Utilisation: Support end-users in utilising data visualisation products and integrating them into their workflow processes.

Our technical stack

You will have to work with the following technologies and software:

Python or R for data processing (data wrangling, forecasting, operational research, geospatial)
The Jupyter data science ecosystem
Data visualization tools and BI software (Tableau, PowerBI, Superset, matplotlib, Plotly, Dash,…)
Our own platforms, such as OpenHexa, Iaso and OpenIMIS
Industry-standard tools such as DHIS2 and ODK
Geospatial Software (GDAL, QGIS, Cartographic Rendering Software, etc.)

Profile

Required

Master degree in data management and analysis, statistics, econometrics…
Strong quantitative and analytical skills
Working experience in data analysis (e.g. R or Python), in database management (e.g. SQL)w with advanced mastery of Excel and 1-3 years of experience in R/Python programming and with creating scripts to manipulate, clean and analyse data
Good working knowledge of the Jupyter ecosystem
Excellent oral and written communication skills in French and English
Ability to work autonomously
Team player with good interpersonal skills

Preferred

Working experience in Global health, Health financing, Disease Surveillance, Geospatial or Monitoring and Evaluation in another sector a plus
Experience with DHIS2 configuration for management of health and with ODK for the creation of forms
Experience with BI tools & with the creation of interactive dashboards (Tableau, Power BI, Superset)
Notion of GIS (Geographical Information System)
Working experience on time series forecasting, operational research, supply chain, geosciences
Working experience with Docker
Working experience with GCP
Working experience in Africa, Asia or Latin America

What we offer

Competitive Salary and benefits package
Flexible work hours and extensive remote working options, as we entrust our team members, anticipating a responsible and conscientious utilisation of this trust.
Exciting projects: use data to solve major issues (Health, Education, Waste management and more)
Impact: manage data platforms impacting the lives of thousands of people
Network: work in collaboration with a wide variety of actors within countries (Ministries, Donors, NGOs, Implementing partners, field staff, etc.)
Hands-on experience: on-site visits and in-depth situation analysis because we believe that nothing compares to experiencing first-hand the change one is contributing to.
Exciting work environment: join a result-oriented, dynamic & diverse team committed to improve the accessibility and quality of health services, especially for the poorest