Lead Data Scientist
Paris, Île-de-France, France - Remote
Applications have closed
FairMoney
Digital banking and Instant Loans in Nigeria providing collateral-free personal loans, a bank account with free bank transfers, and zero convenience fee on b...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 India and Nigeria? 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, 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.
Requirements
- 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.
Required skills:
- 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.
Our tool stack:
- Programming language: Python
- Production: Python API deployed on Amazon EKS (Docker, Kubernetes, Flask)
- ML: LightGBM, Scikit-Learn, 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.
Recruitment Process
- Screening with Talent Manager or directly with Head of Data team- 30 min.
- Test assignment and technical interview with data science team leads - 1 hour.
Tags: Airflow APIs AWS BigQuery Computer Science Credit risk Data Mining Data quality Docker Econometrics ETL FinTech Flask GCP Kubernetes LightGBM Machine Learning Mathematics Metabase MySQL Predictive modeling Python Scikit-learn SQL Statistics Tableau XGBoost
Perks/benefits: Career development Parental leave
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