Senior Data Scientist

Strong background in Mathematics / Statistics / Econometrics / Computer science or related field. 5+ years of work experience in analytics, data mining, and predictive data modelling, preferably in the fintech domain. Proficiency in Python and SQL. Hands-on experience handling large volumes of tabular data. Strong analytical skills. Confident working with key Machine learning algorithms (GBM, XG-Boost, Random Forest, Logistic regression). Experience building and deploying models for credit risk, debt collection, fraud, and growth. Track record of designing, executing and interpreting A/B tests in a business environment. Strong focus on business impact and experience driving it end-to-end using data science applications. Strong communication skills. Python programming language. Production experience with Python API deployed on Amazon EKS (Docker, Kubernetes, Flask). Experience with ML libraries like Scikit-Learn, LightGBM, XGBoost, shap. Experience with ETL tools like Apache Airflow. Experience with cloud platforms like AWS, GCP. Experience with databases like MySQL. Experience with DWH solutions like BigQuery, Snowflake. Experience with BI tools like Tableau, Metabase, dbt. Experience with streaming applications like Flink, Kinesis.

Identify opportunities for leveraging company data to drive business solutions. Mine and analyze data to optimize risk strategies, product development, and marketing. Assess new data sources and gathering techniques. Use predictive modeling to enhance customer experiences and revenue. Coordinate with functional teams to maximize data science application use. Develop processes to monitor model performance and data quality. Apply advanced statistical and data mining techniques. Own data science projects end-to-end and drive improvements.