This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist based in India.
This is an opportunity to build and own production-grade machine learning solutions that solve complex, real-world supply chain problems.
You will work across the full ML lifecycle, from data pipelines and model development to deployment, monitoring, and retraining.
Your work will directly influence forecasting accuracy, operational efficiency, automation, and customer outcomes.
The role combines hands-on technical ownership with opportunities to guide other data scientists and engineers.
You’ll work with challenging, high-volume data including GPS signals, carrier information, and unstructured logistics messages.
Collaboration with product, engineering, and operations teams will be essential to turning technical improvements into measurable business value.
You’ll join a highly team-oriented environment focused on building scalable, AI-driven solutions and proactive supply chain automation.
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Accountabilities:




Design, develop, and productionize machine learning models for ETA/ATA prediction and other forecasting, regression, and classification problems.
Build NLP and LLM-based extraction pipelines for unstructured messages, including text extraction and entity recognition for status and ETA information.
Own ML solutions end-to-end, covering data preparation, training, deployment, monitoring, retraining, and continuous improvement.
Work with noisy, complex, real-world logistics data such as GPS pings, check calls, carrier feeds, and other operational datasets.
Investigate differences between offline model performance and live production results, identify root causes, and implement corrective actions.
Build and maintain automated training and retraining workflows using orchestration tools such as Airflow.
Establish and maintain model monitoring and observability using tools such as Grafana or comparab

📌 Senior Data Scientist (India)
🏢 Jobgether
📍 India