Senior Data Scientist
Core
Design and deploy statistical, forecasting, and machine learning solutions to solve complex business problems, improve planning, and drive decision-making at scale.
Role type
Senior IC data scientist (forecasting & ML)
Builds
Production-ready forecasting models, predictive analytics, and actionable insights for business stakeholders
Domain
Digital infrastructure / Cloud computing
Deliverable
production ML models
Required skills
statistics, time series analysis, probabilistic forecasting, machine learning, Python, SQL, feature engineering, model lifecycle management, data drift detection, visualization
Preferred skills
experience with large datasets, distributed data processing, cross-functional collaboration
Technologies
Google Cloud Platform (GCP), pandas, NumPy, scikit-learn, statsmodels, PyTorch, TensorFlow, ARIMA, SARIMA, state-space models, gradient boosting, neural networks
Responsibilities
Build and deploy statistical and probabilistic forecasting models for demand and capacity analysis; Develop and maintain machine learning models for prediction; Own the model lifecycle including deployment, monitoring, and retraining; Perform exploratory data analysis and feature engineering on large datasets; Create visualizations to communicate forecasts and trends to stakeholders; Partner with data engineering teams to ensure data quality and pipeline efficiency
Seniority
Senior, hands-on IC
