Data Scientist
Core
Design, develop, and deploy advanced machine learning and forecasting solutions for high-impact business use cases, specifically focusing on time-series forecasting, statistical modeling, and predictive analytics.
Role type
Senior IC data scientist (forecasting & predictive analytics)
Builds
Production-ready ML models for forecasting, optimization, and risk analysis
Domain
Enterprise AI / Financial forecasting / Predictive analytics
Deliverable
production ML models
Required skills
Time-series forecasting, Statistical modeling, Feature engineering, Model validation, Python, SQL, XGBoost, ARIMA/SARIMA/Prophet, Hypothesis testing
Preferred skills
Multi-entity financial forecasting, Cloud ML platforms (AWS/Azure/GCP), MLOps, Probabilistic/Bayesian modeling, Corporate finance processes
Technologies
Python, Pandas, NumPy, Scikit-learn, XGBoost, ARIMA, SARIMA, Prophet, Power BI, Tableau, Streamlit, Jupyter, Databricks, AWS SageMaker, Azure ML, GCP AI
Responsibilities
Design and deploy ML models for forecasting and prediction; Build and evaluate time-series forecasting solutions; Perform feature engineering and statistical investigations; Collaborate with engineering to deploy solutions into production; Develop dashboards and reporting solutions; Mentor junior team members
Seniority
Senior, hands-on IC
