Lead Data Scientist

Paris, Île-de-France, France - Remote

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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...

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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 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

Regions: Remote/Anywhere Europe
Country: France
Job stats:  30  5  0

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