Data scientist (full-time) _at Ground Truth Solutions

Location: Vienna, Austria or remote

Organization: Ground Truth Solutions

Deadline: 31 December 2025

Job Description

About the job

Place of work: Vienna, Austria (or remote)

Hours: Full time – 40 hours a week

Reports to: Head of Data

About Ground Truth Solutions

Our mission is to ensure that people affected by crises have a say in humanitarian action, from individual aid projects to global humanitarian reform. To achieve this, we collect feedback from people at the receiving end of aid. We challenge and encourage aid agencies to use this feedback to optimise their work. We influence policymakers, governments, and aid agencies to bring change to the humanitarian, health and environmental sectors.

About our work culture

We are a committed team of professionals who take the responsibility of receiving funds to work toward aid reform seriously. We strive for excellence, constantly challenging the status quo (internally and externally), and conducting ourselves with discipline, creativity, curiosity, boldness and candour. We seek diverse viewpoints and learn from partners and people affected by crisis. We work hard, we communicate directly and along the way, we have fun. We are a small, agile organisation trying to change complex systems; not a bureaucracy. This is not for everyone. Our culture best suits those who like being part of the solution, believing things can change, demonstrating agency and working creatively and collaboratively on complex issues. If this sounds like an environment you would grow and thrive in, keep reading.

The job

Responsibilities

• Works in in a team and independently on day-to-day data analysis of quantitative perception surveys, independently conducting analysis of standardised survey data
• Continually improves our analysis tools
• Collaborates closely with other team members across the organization and provides advice on how best to report and visualise findings of quantitative data collection
• Processes internal and external data requests
• Supports on sampling and research design of surveys, balancing data integrity with programmatic realities in humanitarian contexts
• Data quality control and data cleaning
• Updating our database of humanitarian feedback data
• Engages with project partners in mutual support and learning across cultures

Core requirements

• Experienced in quantitative data analysis using R and Python
• Sound knowledge of statistics
• Strong analytical skills with attention to detail and accuracy
• Pragmatism needed to work in humanitarian context
• Excellent written and spoken communication skills in English (working proficiency in French, Spanish, German or Arabic is a plus)
• Degree: social or natural science, engineering

Desirable

• Expertise in survey design and sampling
• SQL skills, familiarity with xls forms
• Experience with Github and Dockerfiles
• Experience with Azure AI Foundry, proficiency with RAG architectures
• Skills in data visualisation and communication
• Experience in customer satisfaction research, political polling or in the development and humanitarian sector

  Do you have other skills you think we need? Let us know!

What we offer

Our work mode is very flexible, valuing work/life balance and supporting ongoing learning. The position will ideally be based in Vienna, where we can offer a one-year contract (full time) with the possibility of extension. We offer a competitive salary determined on experience starting at € 45,000 gross/year including benefits under Austrian law such as comprehensive health insurance, contribution to the state pension plan, five weeks of paid leave, and more. If the location is prohibitive for you but you tick all the other boxes, please apply anyway, and explain this in your application. We especially welcome applications from people with lived experience of humanitarian crises.

How to Apply

Tell us who you are, why you care and what you can do to help us achieve our vision.

• Fill in the application: >> FORM and submit your one page CV by 31 December 2025.
• Submissions that do not meet the criteria will not be considered.
• GTS receives a high volume of applications and we are not able to respond to everyone personally.
• Applications will be reviewed on a rolling basis.
• The selection process will include two rounds of interviews and a practical exercise.