Data Engineer, GCP
NucleusTeq
AirflowBigQueryGoogle Cloud PlatformHadoopMySQLNoSQLPySparkPythonSparkSQL
Senior Data Scientist
Gozem - Africa's Super App
full-time
Posted on:
Location Type: Hybrid
Location: Cotonou • 🇧🇯 Benin
Visit company websiteJob Level
Senior
Tech Stack
AirflowBigQueryETLGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Build and deploy advanced statistical, machine learning, and AI models for use cases such as fraud detection, credit scoring, customer segmentation, churn prediction, and personalization
- Design and implement analytics pipelines : clean, structure, and consume raw data from our data lakehouse, and other sources
- Lead data-driven decision-making: collect, transform, analyze, and communicate insights that directly inform product, risk, and growth strategies
- Manage and deliver data science projects from conception to production, ensuring alignment with business objectives
- Collaborate with cross-functional teams (Product, Engineering, Operations, Finance) to translate business problems into data solutions
- Monitor and optimize the performance of models and pipelines, ensuring the related solutions remain reliable, fair, and scalable
- Mentor junior data scientists and analysts, providing guidance on best practices and methodologies
- Stay up-to-date with the latest advances in AI/ML, MLOps, and fintech analytics , and help integrate them into Gozem’s stack
Requirements
- Have strong expertise in machine learning, statistical analysis, and predictive modeling
- Have hands-on experience with transactional data, financial services data, or digital payments
- Comfortable with basic analytics engineering tasks: writing efficient SQL queries, cleaning large messy datasets, and automating data flows
- Experience working with metadata standards, insights quality frameworks, and governance practices
- Able to communicate complex technical concepts clearly to non-technical stakeholders and influence decision-making
- Can balance innovation with pragmatism, delivering models and insights that drive measurable business impact
- Thrive in a fast-paced environment, taking ownership of challenges and moving projects forward
- Education : Bachelor’s/Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field
- Experience : 5+ years of experience in data science, preferably in fintech, banking, payments, or digital platforms
- Core skills : Mastery of SQL, Python, and ML frameworks (scikit-learn, TensorFlow, PyTorch)
- Analytics engineering basics : Experience with ETL & automation tools (Airflow, Dataform, or equivalent), and handling large-scale structured/unstructured datasets
- Visualization : Proficiency in Looker Studio, Metabase, or other BI tools
- Nice-to-have skills : Knowledge of R, BigQuery, GCP, or MLOps frameworks (MLflow, Kubeflow, etc.)
- Tools to master : Asana, Jira, Google Suite
- Languages : French and/or English (bilingual proficiency is a strong plus)
Benefits
- 📍work location: on-site in our markets
- 💶 A gross monthly remuneration defined according to our internal salary grid as well as the relevance of your past experiences for the position.
- 🌿 An option to buy shares in Gozem
- 🎁 An annual bonus allowing you to receive between 0 and 4.5 months of additional salary the following year
- 🚗 Benefits on our Super App for your travel and deliveries
- 🌐 A health and IT insurance package
- Opportunity to join a young, dynamic team that has a real social impact in French-speaking Africa!
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningstatistical analysispredictive modelingSQLPythonscikit-learnTensorFlowPyTorchETLdata visualization
Soft skills
communicationleadershipproblem-solvinginnovationpragmatismownershipcollaborationmentoringdecision-makingadaptability
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