Senior Data Scientist

Summary

Join Djamo, a rapidly growing financial super app in Francophone Africa, as a Senior Data Scientist. You will leverage advanced statistical methods and machine learning to solve business challenges and drive smarter decisions. This senior-level role requires strong technical expertise, a problem-solving mindset, and a passion for innovation. You will apply machine learning techniques, analyze large datasets, build predictive models, collaborate with cross-functional teams, and create impactful data visualizations. The ideal candidate will have a Master's or PhD in a relevant field and at least 5 years of experience in data science. Djamo offers a collaborative, fun environment with opportunities for continuous employee development.

Requirements

• Be based in Abidjan, Dakar, or any other country within 3 hours of GMT
• Hold a Master's or PhD in Data Science, Computer Science, Statistics, Engineering, or a related field, with a focus on advanced machine learning, data analysis, and statistical modeling
• Have at least 5 years of experience in large-scale data analysis, machine learning, and predictive modeling, with hands-on experience in real-world applications
• Possess strong technical skills: Advanced expertise in SQL for querying, manipulating, and analyzing complex datasets
• Be proficient in Python for data analysis, model building, and deployment
• Have a strong foundation in statistics and probability for robust analytical models
• Possess expertise in machine learning libraries and frameworks such as scikit-learn, TensorFlow, or PyTorch
• Have experience with data preprocessing and feature engineering for structured and unstructured data
• Be familiar with cloud-based platforms (e.g., Google Cloud, AWS, Azure) for deploying data pipelines and ML models
• Be proficient in data visualization tools (e.g., Looker, PowerBI, or libraries like matplotlib and seaborn)
• Understand APIs and integrating machine learning models into production environments
• Have hands-on experience with Git/version control systems and collaborative development workflows
• Possess a business-driven mindset: Ability to translate data insights into practical, impactful business actions
• Be a problem solver: Proven ability to tackle complex challenges with curiosity and creativity
• Have a passion for innovation: Enthusiasm for contributing to Djamo’s growth
• Possess excellent communication skills: Ability to present complex data and analysis results clearly and effectively to diverse audiences
• Have a deep passion for using data science and machine learning to drive positive change, particularly in emerging markets like Africa, with a keen interest in the FinTech sector, data-driven innovation, and research

Responsibilities

• Apply advanced statistical and machine learning techniques to solve key business problems and improve product decisions
• Analyze large datasets to identify trends, patterns, and actionable insights
• Build high-quality predictive models and AI-driven solutions integrated into Djamo’s products
• Collaborate with cross-functional teams to align data science strategies with business objectives
• Automate data collection and processing while ensuring data quality and integrity
• Create clear and impactful data visualizations to communicate insights and inform strategy
• Explore and propose innovative ways to use AI/ML to enhance Djamo’s offerings and business impact
• Perform any other related tasks, as needed, to support the team in achieving responsible data practices and sustainable growth

Benefits

• The balance between autonomy and collaboration, insight and intuition, work and life
• Work in small, open, friendly teams to create beloved products and services
• Ethical and stimulating environment
• Contribute to the rapid expansion of a startup in French-speaking Africa
• Positively impact millions by providing simple and fair banking
• Collaborative, fun environment with strong team spirit and a culture of continuous employee development