Data Scientist
Kampala, Uganda * Full-time
RAISING THE VILLAGE
Job Title: Data Scientist Department/Group: VENN
Reporting To: Senior Data Scientist Years of Experience: 3+ years
Location: Mbarara Travel Required: Up to 30%
About Raising The Village
At Raising The Village (RTV), we are dedicated to eradicating ultra-poverty in Sub-Saharan
Africa. As a dynamic, rapidly growing international development organization, we’ve assembled
a team of over 250 passionate individuals in Uganda, alongside an additional 17 professionals
in North America and 15 in Rwanda. Together, we are committed to elevating communities out
of ultra-poverty by implementing innovative solutions and leveraging advanced data analytics to
drive impact.To date, our holistic approach has positively impacted over 1 million lives since
2012, and we’re poised to achieve even greater milestones, aiming to assist 1 million individuals
annually by 2027. Our growth and success are fueled by the invaluable support of global
partners who share our vision of sustainable change. Learn more about our impactful programs
The VENN department is the data and technology backbone of our organization, connecting
advanced analytics, and custom software tools with field implementation to ensure
data-informed decision-making at every level.
Job Description
The Data Scientist plays a pivotal role in designing, developing, and deploying a computer
vision system that transforms how RTV assesses program compliance and household adoption
across last-mile communities. The role sits within the Predictive Analytics / VENN department
and is central to RTV’s image based evaluation rollout, a key pillar of the broader WorkMate AI
ecosystem. The Data Scientist will work closely with, Data Scientists, ML Engineers, the Data
Engineer, the Software Engineering team, and field evaluation teams to deliver an objective,
scalable, and field-deployable visual assessment tool that complements and enhances RTV’s
existing evaluation frameworks.
Recommended for you
QUALIFICATIONS / SKILLS
● Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics (Statistical
computing )or a related quantitative field.
● 3+ years of hands-on experience in machine learning and computer vision, with a
demonstrable portfolio of deployed models.
● Proficiency in:
○ Python (PyTorch or TensorFlow) for deep learning model development.
○ Object detection and image classification frameworks, particularly YOLO
architectures (YOLOv8 or later).
○ Data annotation tools and active learning workflows for building labeled datasets.
○ Cloud platforms, specifically AWS, for model training, storage, and deployment.
○ SQL and familiarity with data warehouse environments (Databricks preferred) for
integrating model outputs with structured household data.
○ Model deployment and MLOps practices, including CI/CD pipelines and
experiment tracking with Weights & Biases or equivalent.
○ Edge deployment optimization (TensorFlow Lite, ONNX) for low-connectivity field
environments.
● Experience building and documenting RESTful APIs to expose model predictions to
consuming applications.
● Familiarity with mobile data collection platforms (SurveyCTO, ArcGIS, Custom APPs)
and field data workflows in development or humanitarian contexts is an asset.
Personal Attributes
● Deep commitment to applying data science for social impact and poverty alleviation.
● Strong analytical and problem-solving mindset with attention to field-level constraints and
practical deployment realities.
● Ability to communicate complex model outputs to non-technical stakeholders including
field officers and program managers.
● Collaborative team player who thrives in a fast-paced, mission-driven environment with
multiple concurrent workstreams.
● High degree of independence, initiative, and commitment to integrity and innovation.
Raising The Village is committed to Equity and Inclusion in the workplace and is proud to be an
equal opportunity employer.
HOW TO APPLY
Deadline: Open until filled
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