Data Scientist

POSITION: Data Scientist
LOCATION: Mbarara, Uganda
EMPLOYMENT TYPE: Full-time
EXPERIENCE: 3+ years
TRAVEL REQUIRED: 10%
REPORTING TO: PEAL Officer-Predictive Analytics

Job Description

The Data Scientist will play a critical role within the PEAL department, leveraging advanced data analytics to drive impactful decision-making and enhance program effectiveness. Responsibilities include managing the data lifecycle, conducting exploratory data analysis, developing predictive models, and creating insightful visualizations and reports. A strong background in statistical analysis, data manipulation, and machine learning techniques is essential. This role requires collaboration with internal and external teams to integrate data-driven insights into program strategies, supporting Raising The Village’s mission to eradicate ultra-poverty in Sub-Saharan Africa.

Roles & Responsibilities

Responsibilities:

  • Data Exploration & Analysis: Collect, clean, and preprocess data from various sources. Perform exploratory data analysis (EDA) to uncover patterns, trends, and relationships.
  • Model Development: Develop, implement, and optimize machine learning models to address specific business problems. Evaluate model performance and refine models as necessary.
  • Derive actionable insights from structured and unstructured big data.
  • Solve complex business problems by formulating, developing, and interpreting statistical models and analysis.
  • Conduct R&D in data science to drive methodology improvement.
  • A/B Testing & Experimentation: Design and analyze A/B tests and other experimental methodologies to assess the impact of various interventions.
  • Data Visualization: Create compelling visualizations and dashboards to communicate insights and findings to both technical and non-technical stakeholders.
  • Reporting: Prepare detailed reports and presentations summarizing findings, methodologies, and implications for internal and external stakeholders.
  • Collaboration & Knowledge Sharing: Work closely with cross-functional teams to integrate data insights into program planning and execution. Share knowledge and mentor junior team members in data science best practices.
  • Deploying Models & Monitoring: You will be involved in deploying, monitoring, and observability of models in production.
  • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and analytics to continuously improve RTV’s data capabilities.

Requirements and Experience

Qualification and Requirements

  • Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • At least three years of experience in data science, analysis, or research, preferably in the nonprofit sector.
  • Experience using one or more of the following packages: TensorFlow/Keras, Pytorch Lightning/fastai
  • Proficiency in Python programming language.
  • Experience with data manipulation tools and libraries (e.g., pandas, NumPy, matplotlib, seaborn etc)
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of SQL and experience with relational databases.
  • Familiarity with cloud platforms such as AWS, GCP, or AZURE.
  • Excellent communication skills with the ability to present complex concepts.
  • Experience in data lifecycle management, including collection, analysis, and reporting.

 

Skills & Abilities:

  • Ability to work collaboratively and engage with diverse stakeholders.
  • Flexibility to adapt to changing priorities and deadlines.
  • Demonstrated knowledge and understanding of the application of Theories of Change (TOC).
  • Ability to apply M&E process-based tools, including result-based and participatory monitoring and evaluation, gender analysis frameworks, feasibility studies, data quality assurance, and reporting.
  • Strong training & facilitation skills.
  • Experience in participatory research within last-mile communities is an advantage.
  • Team player with the ability to be self-driven.
  • Strong analytical and problem-solving skills.

Application Process

To apply, please submit your application by September 2, 2024.

Raising The Village is an equal-opportunity employer committed to diversity and inclusion. We highly encourage women candidates to apply.