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About the Role

The Senior Data Scientist will apply statistical analysis, machine learning, and advanced analytical methods to address strategic business questions related to traffic and revenue forecasting, customer behavior, travel patterns, and business performance. This role focuses on extracting actionable insights from data to deepen understanding of demand drivers and business outcomes, framing analytical questions, developing and validating models, and translating findings into clear business conclusions and recommendations. The position supports projects and teams across North America and Europe.

Responsibilities

Execute Advanced Analytics projects with three strategic goals: Optimize traffic and revenue performance at existing projects.
Improve Traffic & Revenue forecasts by using new data and analytical techniques to better understand the main factors affecting demand and revenue.
Support Business Development activities and the analysis of new projects.
Apply advanced analytical methods to understand traffic and revenue trends, travel patterns, driver choice, network conditions, and key demand drivers.
Identify, evaluate, and integrate internal and third-party data sources to support Traffic & Revenue studies and broader business questions.
Support Advanced Analytics projects conducted by Cintra’s major projects and Traffic & Revenue teams in North America and Europe.
Translate complex analysis into clear conclusions, recommendations, visualizations, and presentations for management.
Stay informed of new developments in data science, AI, analytical techniques, systems, data sources, and providers, and explore how to utilize them for the benefit of Cintra.

Requirements

Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Operations Research, Engineering, Economics, or a related quantitative field.
At least three years of relevant professional experience in data science, advanced analytics, statistical modeling, or a related field.
Strong proficiency in Python and SQL, including experience processing, combining, and analyzing large, complex, and imperfect datasets.
Experience using Databricks, Spark, or similar cloud-based analytics platforms.
Demonstrated experience applying statistical analysis, machine learning, predictive modeling, and exploratory analytical methods to real-world business problems.
Experience working with transactional, customer, operational, financial, or other business data, including integrating multiple sources at different levels of granularity.
Strong understanding of model validation, analytical assumptions, data leakage, and the distinction between correlation and causation.
Ability to independently structure business questions, select appropriate data and methods, and develop defensible analytical conclusions.
Experience developing clear visualizations and communicating analytical findings and business implications to management.

Skills

Python
SQL
Databricks
Spark
Statistical analysis
Machine learning
Predictive modeling
Exploratory analytical methods
Data visualization
Communication skills
Connected-vehicle data
Mobile-device data
Routing data
Transaction data
Demographic data
Land-use data
Weather data
Event data
Economic data
Transportation industry knowledge
Toll roads knowledge
Managed lanes knowledge
Mobility knowledge
Infrastructure knowledge
Logistics knowledge
Location intelligence
Route choice analysis
Pricing analysis
Revenue management
Customer behavior analysis
Traffic & Revenue forecasting
Cloud-based data platforms
Git
Reproducible analytical workflows

Location

Austin, Texas

Work Type

Full-time

Experience Level

Senior

Education Level

Master's degree

Benefits

Comprehensive benefits package
Employee wellbeing initiatives
Support for physical and psychological health

About the Company

Ferrovial is a global leader in infrastructure solving complex problems and generating a positive outcome on people’s lives.
Ferrovial is leading the development of the New Terminal One at JFK International Airport.
Ferrovial shares trade under the ticker symbol FER on Nasdaq (Nasdaq100 Index) and Spanish Stock Exchanges (IBEX 35).
Ferrovial is included in globally recognized sustainability indices such as the Dow Jones Best-in-Class Index.
Ferrovial operates in more than 15 countries with a workforce of over 22,000 professionals worldwide.
Ferrovial’s activity is carried out through its business units: Highways, Airports, Construction, and Energy.
Cintra is the highways business unit of Ferrovial, a leading infrastructure operator committed to developing sustainable solutions.
Cintra's portfolio includes nearly 1,200 miles of managed highways globally, representing a total global investment in roadway improvements of over $24.8 billion.
Cintra manages all phases of the life cycle of its infrastructure assets.
Ferrovial offers global presence, local impact, collaborative excellence, an inclusive culture, career growth opportunities, and compelling benefits.

Equal Opportunity

Ferrovial is an equal opportunity employer. We treat all jobs applications equally, regardless of gender, color, race, ethnicity, religion, national origin, age, disability, pregnancy, sexual orientation, gender identity and expression, covered veteran status or protected genetic information (each, a “Protected Class”), or any other protected class in accordance with applicable laws.