As a Data Scientist at MomonaTech, you'll unlock powerful insights from data to drive innovation in African fintech and agriculture. You'll work with diverse datasets from millions of users to build machine learning models that improve financial inclusion, optimize agricultural yields, and enhance user experiences. This role combines advanced statistical analysis with practical machine learning applications to solve real-world problems and create meaningful impact across the continent.
Key Responsibilities
Analyze complex, large-scale datasets to extract actionable business insights
Design, build, and deploy machine learning models for predictive analytics and recommendations
Create comprehensive data visualizations and interactive dashboards for stakeholders
Collaborate with product managers, engineers, and business teams to define data-driven solutions
Develop and validate predictive models and algorithms for user behavior and business metrics
Present findings, insights, and recommendations to executive leadership and cross-functional teams
Design and execute A/B tests and experiments to optimize product features and user experience
Build automated data pipelines and monitoring systems for ongoing model performance
Conduct exploratory data analysis to identify trends, patterns, and opportunities
Ensure data quality, privacy, and ethical use of machine learning models
Stay current with advances in data science, machine learning, and AI technologies
Mentor junior data team members and contribute to team knowledge sharing
Requirements
3+ years of experience in data science, machine learning, or quantitative analysis
Expert proficiency in Python, R, and SQL for data manipulation and analysis
Strong experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch)
Deep understanding of statistical methods, probability, and experimental design
Experience with big data technologies (Spark, Hadoop, or cloud data warehouses)
Proficiency in data visualization tools (Tableau, Power BI, matplotlib, seaborn)
Strong analytical and problem-solving skills with attention to detail
Experience with A/B testing, hypothesis testing, and statistical inference
Knowledge of data engineering concepts and ETL processes
Experience with cloud platforms for data processing (AWS, GCP, Azure)
Understanding of machine learning model deployment and MLOps practices
Advanced degree in Data Science, Statistics, Mathematics, or related quantitative field preferred
What We Offer
Competitive salary range of $70k - $100k with performance bonuses
Equity participation in a data-driven African tech company
Fully flexible remote work arrangements with global collaboration opportunities
Access to cutting-edge data tools, cloud platforms, and research budgets
Annual professional development budget for conferences, courses, and certifications
Collaborative and innovative environment with data science communities
Modern high-performance computing resources and development tools
Comprehensive benefits package including health insurance and retirement plans
Flexible work schedules and work-life balance support
Opportunities for research publications and industry conference presentations
Competitive paid time off and parental leave policies
Quick Facts
Full-time
Remote
$70k - $100k
Engineering
How to Apply
1
Review the job details and requirements above
2
Prepare your resume and portfolio (if applicable)
3
Complete the application form with your information
