Data Scientist, DRC


Organisation

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 join our data science team.

Start date: as soon as possible.

Location: Based in the Democratic Republic of Congo 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.

Role and Responsibilities

1. Data Management & Analysis

  • In collaboration with the data science team, develop scripts 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.

2. Automation of procedures

  • Contribution to the automation of the procedures via different scripting languages (Python, R) in command line or on the Bluesquare data analytics platform OpenHexa in collaboration with the development team.
  • Provide technical support and documentation on the procedures established.
  • Write code documentation, user guidelines, articles and other materials that will be useful to communicate with our clients and other partners.

3. Product development: Contribute to Bluesquare’s products, processes, procedures and tools (product roadmap, user manual, training material, etc.) based on ongoing client needs analysis.


4. 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. 


5. Quality control: Review and automate scripts to ensure quality control of the released data integration work.


6. Technical writing: Write code documentation, users guidelines, articles and other materials that will be useful to communicate with our clients and other partners.


7. Capacity building

  • Provide internal and external trainings for stakeholders in the use of different tools and in-house data solutions
  • Adapt the curricula of the training sessions to the specific needs of the respective stakeholders
  • Support other teams in their needs for data analysis based on ongoing needs assessment

8. Additional responsibilities: Contribute to the company visibility/networking on health data systems and  Bluesquare visibility (blogs, product descriptions, events)

Our technical stack

You will 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 visualisation 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.)
  • Data

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) with 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: 

  • Experience with Docker, Kubernetes or deployment of containerized applications.
  • Experience with Google Cloud Platform, AWS or Azure.
  • Experience and familiarity with practices, software  and working environment of CICD, DevOps.
  • Experience with time series forecasting, operational research, supply chain, geosciences
  • Experience in Global health, Health financing, Disease Surveillance, Geospatial or Monitoring and Evaluation in another sector a plus
  • Experience with GIS (Geographical Information System) and  familiarity with Environmental dataset sources (ex: Google Earth Engine)
  • 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)
  • 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

To apply, please send your CV and motivation letter to data-scientist-drc@bluesquare1.odoo.com.