Lead Rail Data Scientist - Risk & Insight

Sperry Rail, Inc.; Shelton (CT); On-site; USD 140,000 - 190,000; Full time

Job summary

Sperry Rail, Inc. is seeking a Lead Data Scientist, Rail Data and Risk, to define and deliver analyses that identify where risk sits in track and how it evolves across North America.

You will lead a small team, hire two new seats in the near term, and drive models from exploration to production in collaboration with the commercial team. You will translate complex data into actionable insights, prioritizing predictive and descriptive analyses, and communicating findings to customers and internal

Qualifications

• 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 aligned with our values of being Humble, Hungry, and Smart.

Responsibilities

• Trend Sperry's multi-modal test data over time – internal flaw detection, induction, and eddy current – for defect growth and surface condition degradation across our 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 Sperry 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

Skills

Statistics

Hypothesis testing

Regression analysis

Time series analysis

SQL

Python

Risk modelling

Geospatial analysis

Applied statistics in engineering

People management

Communication

Decision making

Integrity

Teamwork

Rail industry experience

NDT sensing

Education

Bachelor's degree in applied mathematics, statistics, physics, engineering, or related quantitative field

Job description

Sperry Rail, Inc. is seeking a Lead Data Scientist, Rail Data and Risk, to define and deliver analyses that identify where risk sits in track and how it evolves across North America.

You will lead a small team, hire two new seats in the near term, and drive models from exploration to production in collaboration with the commercial team. You will translate complex data into actionable insights, prioritizing predictive and descriptive analyses, and communicating findings to customers and internal