Lead Data Scientist Big Data and Modelling
Share
Job Location:
Monthly Salary:
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
- Lead the design development and deployment of machine learning models for risk scoring fraud detection and behavioural analytics
- Drive feature engineering model training and model monitoring pipelines using large-scale datasets
- Build and maintain a scalable data infrastructure in collaboration with the Data Engineering team
- Manage and mentor a team of data scientists and engineers ensuring high standards in model accuracy interpretability and governance
- Translate complex business problems into data-driven solutions and communicate technical insights clearly to stakeholders
- Lead model validation backtesting and performance analysis for new and existing models
- Develop and implement data quality checks pipelines and data governance protocols
Qualifications :
- Bachelors or Masters in Data Science Computer Science Applied Mathematics or related field
- 3 years of experience in data science machine learning or risk modeling ideally in fintech or banking
- Strong command of Python SQL and big data tools (e.g. Spark Airflow Hadoop AWS/GCP/Databricks)
- Experience leading end-to-end model development in production environments
- Solid understanding of credit risk fraud analytics or financial modelling
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Cermati is a financial technology (fintech) startup based in Indonesia. Cermati simplifies the process of finding and applying for financial product by bringing everything online so people can shop around for financial products online and can apply online without having to physically ... View more
