At FourKites we have the prospect to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.
Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity.
As a Senior Data Scientist, you will build and own machine learning models that power core prediction problems across the FourKites platform — including ETA/ATA forecasting and message-based status extraction. You will work end-to-end, from data pipeline to production deployment and monitoring, turning noisy real-world logistics data into models that run at scale and directly move the needle on customer outcomes. You will work closely with product, engineering, and operations teams, hands-on building and shipping models yourself while also guiding the technical direction of other data scientists on the team.
What you'll be doing:
Design, build,



and productionize ML models for problems like ETA/ATA prediction, using regression, classification, and time-series forecasting techniques
Develop NLP/LLM-based extraction pipelines for message-based ETA and status updates (text extraction, entity recognition)
Own models end-to-end: data pipeline → training → deployment → monitoring → retraining
Work with noisy, real-world logistics and supply chain data (GPS pings, check calls, carrier data) rather than clean, pre-processed datasets
Diagnose gaps between offline evaluation performance and live production accuracy, and drive fixes
Build and maintain automated training/retraining pipelines using orchestration tools such as Airflow
Set up and maintain model monitoring and observability (e.g., Grafana) to catch drift and degradation proactively
Replace manual or rule-based processes with ML-driven automation (e.g., automating manual check calls)
Translate model performance improvements into busin

📌 Senior Data Scientist (Chennai)
🏢 fourkites
📍 Chennai