Lead Data Scientist – ML Time Series & Forecasting
Posted Updated
Description
Role: Lead Data Scientist – ML Time Series & Forecasting
Experience: 7+ Years
Location: India- Semi remote
Notice Period: Immediately to 15 days
Role:
Lead a team of Data Scientists/ML Engineers while remaining hands-on in building and deploying ML solutions, especially forecasting, time-series, scenario modelling, and scoring models.
Mandatory Skills:
- 7+ years in ML/Data Science with 4+ years in team leadership.
- Strong Forecasting & Time-Series experience.
- Statistical models: ARIMA, ETS, Prophet.
- ML techniques: Gradient Boosting, Deep Learning.
- Strong Python & SQL.
- ML frameworks: Scikit-learn, PyTorch/TensorFlow.
- End-to-end ML lifecycle: Data → Training → Deployment → Monitoring.
- MLOps: MLflow, Model Registry, CI/CD, Monitoring.
- Experience deploying ML models into production.
- Strong technical and people leadership skills.
Good to Have:
- Financial Services / FinTech experience.
- Azure / Microsoft Fabric.
- Weights & Biases or similar MLOps tools.