You will be responsible for building the "intelligence layer" of the CDP, developing systems that not only detect anomalies in complex railway time-series data but also reason about them to provide clear, actionable outcomes for maintenance and operations
Job Summary
You will be responsible for building the "intelligence layer" of the CDP, developing systems that not only detect anomalies in complex railway time-series data but also reason about them to provide clear, actionable outcomes for maintenance and operations.
We are seeking a Senior Data Scientist who excels at converting use cases into a data problem and analyzing data to generate value to support decision making.
The ideal candidate balances deep technical expertise with a value-driven mindset, ensuring that analytical outputs directly translate to better cost efficiency and improved commuter experience.
Matching Summary
You will be responsible for building the "intelligence layer" of the CDP, developing systems that not only detect anomalies in complex railway time-series data but also reason about them to provide clear, actionable outcomes for maintenance and operations.
Skills & Requirements
Must-have
Python and SQL expertise
Time-series forecasting and anomaly detection
Modern data stacks (Snowflake, Databricks)
Full ML lifecycle management
AI agents with LLM-based reasoning
Analytical problem-solving skills
Nice-to-have
Stakeholder communication
Proactive learning
Collaborative squad work
Transportation/IoT experience
Key Requirements
5+ years of relevant data science experience
Degree in Data Science, Statistics, Computer Science, Engineering, or related quantitative field