Summary
Date Posted: Monday, August 19 2024, Base Salary: Not Disclosed

JOB DETAILS:

Report to: Team Lead, Analytics
Department Planning, Evaluation, and Learning (PEAL)
Travel Required 10%

About Raising The Village: At Raising The Village (RTV), we are dedicated to eradicating ultra-poverty in Sub-Saharan Africa. As a dynamic and rapidly growing international development organization, we have assembled a team of over 200 passionate individuals in Uganda, alongside an additional 12+ professionals in North America, and 14+ in Rwanda, with more expansion base in the Sub-Saharan Region. Together, we're 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 1M+ lives, and we're poised to reach even greater milestones, aiming to reach over 1,000,000 participants annually by 2027. Our journey of growth and success is made possible by the invaluable support of our global partners who share our vision and belief in sustainable change. Learn more about our impactful programs at www.raisingthevillage.org 

Job Summary:
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.

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.

Qualifications 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.

Work Hours: 8

Experience in Months: 36

Level of Education: Bachelor Degree

Job application procedure

Interested and qualified? Click here to apply
Raising The Village is an equal opportunity employer committed to diversity and inclusion. We highly encourage women candidates to apply.

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