About the role
About Jumia:
Jumia is a leading pan-African e-commerce platform. Its mission is to improve the quality of everyday life in Africa by leveraging technology to deliver innovative, convenient and affordable online services to customers, while helping businesses grow as they use Jumia's platform to better reach and serve customers.
Jumia is built around a marketplace and supported by a proprietary logistics business [Jumia Logistics] and a digital payment and fintech platform [Jumia Pay]. With over 3,000 employees, Jumia is led by top talented leaders offering a great mix of local and international talents and is backed by very high-profile shareholders. Jumia is committed to creating a sustainable impact in Africa.
In April 2019, Jumia was the first Tech company in Africa to be listed on the New York Stock Exchange.
What You Will Be Doing
- Support the Data Science team in analyzing large datasets to uncover trends, patterns, and business opportunities.
- Assist in developing and maintaining data pipelines and ETL processes to ensure data quality and accessibility.
- Collaborate with cross-functional teams to understand business challenges and contribute to data-driven solutions.
- Perform exploratory data analysis on topics such as customer behavior, search optimization, catalog management, finance, and commercial performance.
- Support the development, testing, and monitoring of machine learning models and predictive analytics solutions.
- Write and optimize SQL queries to extract, transform, and analyze data from various sources.
- Contribute to data visualization and reporting initiatives to support decision-making across the business.
- Assist in ensuring data governance, security, and privacy best practices are followed.
- Stay informed about emerging trends in data science, analytics, artificial intelligence, and machine learning.
What We Are Looking For:
- A university Graduate or currently pursuing a Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Strong interest in data analytics, machine learning, and solving business problems using data.
- Good understanding of statistics, probability, and data analysis concepts.
- Basic to intermediate proficiency in Python and SQL.
- Familiarity with data manipulation libraries such as Pandas, NumPy, or similar tools.
- Exposure to machine learning concepts and frameworks such as Scikit-learn, TensorFlow, or PyTorch is a plus.
- Familiarity with cloud platforms (AWS, Google Cloud, or Azure) is a plus but not required.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
- Eagerness to learn, take initiative, and contribute to impactful projects.
We Offer:
- A unique experience in an entrepreneurial, yet structured environment
- A unique opportunity of having strong impact in building the African e-commerce sector
- The opportunity to become part of a highly professional and dynamic team
- An unparalleled personal and professional growth as our longer-term objective is to train the next generation of leaders
Tech stack
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