Senior Data Scientist

Ferrovial•Austin, TX

9d•Onsite

About The Position

The Senior Data Scientist will apply statistical analysis, machine learning, and advanced analytical methods to strategic business questions involving traffic and revenue forecasting, customer behavior, travel patterns, and business performance. The role extracts actionable insights from internal and third-party data to improve understanding of demand drivers and business outcomes. The successful candidate independently frames analytical questions, identifies appropriate data and methods, develops and validates models, and translates findings into business conclusions and recommendations. Based in Austin, Texas, the role supports projects and teams across North America and Europe. Its work contributes to optimizing traffic and revenue at existing projects, improving forecasts through new data and analytical methods, and supporting analysis of new projects and business development.

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 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 sources with 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.
Strong written and verbal communication skills, including the ability to explain technical findings in clear business language.
Ability to summarize findings and present conclusions and recommendations to management.
Comfort working with incomplete information, imperfect data, and questions without a predefined methodology.
Ability to manage multiple tasks and deadlines independently and in an organized manner.
Collaborative and proactive approach, with the ability to work effectively across technical and business teams.

Nice To Haves

Experience working with connected-vehicle, mobile-device, routing, transaction, demographic, land-use, weather, event, economic, or similar external data.
Experience in transportation, toll roads, managed lanes, mobility, infrastructure, logistics, or location intelligence.
Exposure to route choice, pricing, revenue management, customer behavior, or Traffic & Revenue forecasting.
Experience with cloud-based data platforms, Git, and reproducible analytical workflows.
Curiosity, a research-oriented approach, and willingness to explore new questions, data sources, and analytical approaches.

Responsibilities

Execute Advanced Analytics projects to optimize traffic and revenue performance at existing projects.
Improve Traffic & Revenue forecasts by applying new data and analytical techniques to understand factors affecting demand and revenue.
Support Business Development activities and analysis of new projects.
Apply advanced analytical methods to understand traffic and revenue trends, travel patterns, driver choice, network conditions, and demand drivers.
Identify, evaluate, and integrate internal and third-party data sources for 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 about developments in data science, AI, analytical techniques, systems, data sources, and providers, and explore how they can benefit Cintra.