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Are you excited about leveraging data and complex algorithms to improve business decisions and drive business value, helping to build the No. 1 digital lender in Nigeria and other emerging markets? Then, we’re looking for you!
Your role is Lead Data Scientist in the Data Science/Risk team working from offices in Paris, Riga, Lagos, and Bangalore as well as remotely across the globe.
Your mission is to develop data science-driven algorithms and applications to improve decisions in business processes like risk and growth, offering the best-tailored credit services to as many clients as possible.
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases and external data sources to drive optimization and improvement of risk strategies, product development, marketing techniques, and other business decisions.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes.
- Coordinate with different functional teams to make the best use of developed data science applications.
- Develop processes and tools to monitor and analyze model performance and data quality.
- Apply advanced statistical and data mining techniques in order to derive patterns from the data.
- Own data science projects end-to-end and proactively drive improvements in both data science and business processes.
Requirements
- Strong background in Mathematics / Statistics / Econometrics / Computer science or related field.
- 5+ years of work experience in analytics, data mining, and predictive data modeling, preferably in the fintech domain.
- Being best friends with Python and SQL.
- Hands-on experience in handling large volumes of tabular data.
- Strong analytical skills: ability to make sense of a variety of data and its relation/applicability to a specific business problem.
- Feeling confident working with key Machine learning algorithms (GBM, XG-Boost, Random Forest, Logistic regression).
- Experience in building and deploying models around credit risk, fraud, collection, and growth.
- Strong focus on business impact and experience driving it end-to-end using data science applications.
- Strong communication skills.
- Being passionate about all things data.
< class="h3">Our tool stack
- Programming language: Python
- Production: Python API deployed on Amazon EKS (Docker, Kubernetes, Flask)
- ML: Scikit-Learn, LightGBM, XGBoost, shap
- ETL: Python, Apache Airflow
- Cloud: AWS, GCP
- Database: MySQL
- DWH: BigQuery
- BI: Tableau, Metabase, dbt
Benefits
- Paid Time Off (25 days Vacation, Sick & Public Holidays) to all B2B contractors and employment staff.
- Family Leave (Maternity, Paternity)
- Training & Development budget
- Paid company business trips (not mandatory)
- Contract: permanent
- Location: any, within 3 hours difference from CET.
- Remote work: any combination of remote / office work is acceptable.
- Screening call with Talent Manager.
- Test assignment and technical interview with data science team leads.
- Interview with the team and key stakeholders.
