Senior Data Scientist

About the role

To lead advanced data science initiatives, develop predictive models, and drive data-driven decision-making by extracting meaningful insights from complex datasets, enabling business growth and innovation.

What you'll do

• Design and deploy production-grade forecasting solutions using statistical models (ARIMA, ETS, BSTS) and ML approaches (XGBoost, LightGBM, neural networks)
• Implement forecast reconciliation and hierarchical aggregation for complex business structures
• Establish rigorous evaluation frameworks : backtesting, time series cross-validation, accuracy metrics, prediction intervals, and drift monitoring
• Software Engineering & Infrastructure
• Write production-grade Python and R code with modular architecture, comprehensive testing, error handling, and documentation

What you need

• 3–6 yrs of experience
• Python
• SQL
• MLOps
• R
• ETL
• Databricks
• PhD

Good to have

• Spark
• Machine learning
• CI/CD
• Azure
• Reconciliation
• Terraform