Role overview
We’re seeking a Senior Data Scientist to lead advanced analytics and machine learning initiatives that drive strategic decisions and product innovation. You will work cross-functionally with data engineers, BI analysts, product and operational teams to develop scalable models and insights that shape the future of transportation logistics. This role is fully remote.
What you'll work on
Data Science and Machine Learning**
- Design, train, and evaluate predictive and optimization models using statistical, machine learning, and deep learning techniques.
- Build and deploy models for classification, regression, clustering, and anomaly detection.
- Develop time series forecasting models for churn prediction and demand forecasting.
- Balance R&D prototyping with production-grade model development.
What we're looking for
- Proficiency in Microsoft cloud technologies, especially Fabric.
- Experience building ML pipelines with MLOps features including preprocessing, training, model deployment, monitoring/retraining, and CICD.
- Experience working with GPS telemetry data including latency, gaps, and error handling.
- Familiarity with geospatial data science including spatial joins, clustering, ArcGIS GeoAnalytics, and geohashing.
Benefits
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Machine Learning Deep Learning Data Science Mlops Data Engineer Ai