Data Scientist - Time Series Forecasting
Core
Develop and implement state-of-the-art econometric and machine learning models for demand forecasting, owning the full lifecycle from data exploration to production deployment and monitoring.
Role type
Senior IC machine-learning engineer (time-series forecasting)
Builds
Production demand forecasting models for mid-size companies in industries like aftermarket parts
Domain
Aviation, retail, B2B distribution, demand prediction
Deliverable
production ML models
Required skills
time-series forecasting, deep learning, feature engineering, model explainability, Python, PyTorch/TensorFlow, SQL, AI coding agents
Preferred skills
pricing/revenue management, causal measurement (A/B testing), cloud ML platforms (Azure ML/Microsoft Fabric), workflow orchestration
Technologies
Azure, PyTorch, TensorFlow, Pandas, Polars, NumPy, Scikit-learn, SQL, Claude Code, GitHub Copilot
Responsibilities
Develop and implement econometric and ML models for demand forecasting; Own the full ML lifecycle including data exploration, feature engineering, training, validation, deployment, monitoring, and retraining; Conduct research and experimentation to improve model accuracy and adapt to new industries; Design measurement strategies including A/B tests to prove uplift; Build with AI coding agents for code generation and testing; Collaborate with engineers to deploy models on Azure and ensure explainability
Seniority
Senior, hands-on IC
