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# Lead Data Scientist

- **Company:** Murray Resources
- **Location:** Shelton, CT, United States
- **Experience:** Expert
- **Salary:** $165,000.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Statistical Hypothesis Testing, Python (Programming Language), Regression Analysis, Reliability Engineering, SQL Databases, Test Data
- **Published:** August 21, 2026
- **Apply:** https://www.careerjet.com/job/us391e8418c75798ec6f3b50d63e67f4c7/eaa

## About the Role

* Statistical depth: probability, hypothesis testing, regression analysis, time series analysis
 * SQL and Python, or equivalent analysis tooling
 * Risk modelling or reliability engineering
 * GIS or geospatial data analysis
 * Experience applying statistical and risk-modelling methods to physical or engineered systems – rail, industrial, energy, or a comparable setting
 * Demonstrable experience managing staff across the full employee lifecycle
 * A credible and confident communicator, written and verbal, at all levels of a business
 * Ability to make effective decisions and to keep calm under pressure
 * High level of honesty and integrity
 * A collaborative, team-first mindset
 * Preferred:

 * Bachelor's degree in applied mathematics, statistics, physics, engineering, or a related quantitative field; advanced degree welcome
 * Typically 7+ years analyzing large technical datasets
 * Linear referencing or corridor-level network data – for example pipeline integrity, highway, or utility corridor work
 * Rail or transportation specifically
 * Sensing technologies: ultrasonics, induction, eddy current

## Description

* Trend the company's multi-modal test data over time – internal flaw detection, induction, and eddy current – for defect growth and surface condition degradation across its non-stop inspection programs in North America.
 * Connect raw test measurements and their metadata to the physical conditions they represent: internal defects, surface conditions, rail flaws.
 * Analyze defect and error types and frequency by subdivision to identify where risk is concentrated and how it moves.
 * Apply risk-based models to estimate the probability and consequence of failure.
 * Own the KPIs for the monthly operational review and customer account review meetings.
 * Present findings to the commercial team in a form they can use in account conversations.
 * Work with the analysis organization so that what the data shows about defect and surface-condition patterns reaches the analysts reviewing that track.
 * Present risk findings to customers alongside the commercial team.
 * Identify gaps in current data collection and recommend what the company should capture to support better analysis.
 * Validate findings against field conditions with track engineering and testing teams.
 * Hire and line manage the two further seats in the pod, and direct their work.
 * Write and maintain documentation so that the analysis is transferable rather than held tacitly., This is what you will do: This Development Scientist II will be a key team member in Alexion's External Analytical Development and Quality Control group. This position is respons…
 + 9 days ago
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