Senior Data Scientist, Geospatial & Mobility Analytics

Cintra, a Ferrovial company; Austin (TX); On-site; USD 130,000 - 180,000; Full time

Job summary

Cintra, the highways division of Ferrovial, seeks a Senior Data Scientist in Austin to drive advanced analytics across North America and Europe. You will lead geospatial and mobility analyses, integrate external data sources, and translate findings into actionable recommendations for management.

The role requires strong Python/SQL skills, experience with Databricks or Spark, and a track record of data-driven decision support in transportation analytics. Travel may be required.

Qualifications

• Master’s degree in a relevant quantitative field and strong academic background.
• 3–6 years of professional data science, geospatial or mobility analytics experience.
• Proficiency in Python and SQL with experience on Databricks or Spark.
• Experience applying machine learning and predictive modeling to business problems.
• Experience with geospatial tools (GeoPandas, PostGIS, ArcGIS, QGIS).
• Ability to translate analyses into clear business recommendations.

Responsibilities

• Lead Advanced Analytics projects to optimize traffic and revenue performance.
• Develop geospatial and mobility analyses to understand travel patterns and demand drivers.
• Incorporate external data sources to enhance forecasting and decision making.
• Create clear visualizations and presentations for management.
• Collaborate with North America and Europe teams and stay current on methods.

Skills

Python

SQL

Geospatial analytics

Mobility analytics

Databricks

Spark

Data visualization

Education

Master's degree in Data Science or related field

Tools

GeoPandas

PostGIS

ArcGIS

QGIS

Cloud analytics platforms

Job description

Join Ferrovial: Where Innovation Meets Opportunity Are you ready to elevate your career with a global leader in infrastructure solving complex problems and generating a positive outcome on people’s lives? At Ferrovial , we are not just a company; we are a community of innovators and trailblazers. Ferrovial is also leading the development of the New Terminal One at JFK International Airport. Ferrovial shares trade under the ticker symbol FER on two stock markets: Nasdaq in the U.S. (Nasdaq100 Index) and the Spanish Stock Exchanges (IBEX 35). Ferrovial is included in globally recognized sustainability indices such as the Dow Jones Best-in-Class Index. We operate in more than 15 countries and have a workforce of over 22,000 professionals worldwide. Ferrovial’s activity is carried out through our business units, including Highways, Airports, Construction, and Energy.

Cintra is the highways business unit of Ferrovial, one of the world’s leading infrastructure operators committed to developing sustainable solutions. Today, its portfolio includes nearly 1,200 miles of managed highways globally, representing a total global investment in roadway improvements of over $24.8 billion.

We provide the maximum value in each project, managing all phases of the life cycle of our state-of-the-art infrastructure assets, such as the 407 ETR in Canada, the Managed Lanes LBJ and NTE in Texas, I-77 in North Carolina, I-66 in Virginia and our projects in Europe, South America, and India.

Why Ferrovial?

• Global presence, local impact: Be part of a company that is shaping the future of infrastructure worldwide, with challenging roles and projects that make a real difference.
• Collaborative excellence: Work alongside talented professionals in a collaborative environment where your ideas and contributions are valued.
• Inclusive Culture: Thrive in an innovative and respectful workplace that values every voice, celebrates what makes us unique and turns differences into innovation.
• Career growth: Benefit from global and cross-business unit mobility, with development processes designed to ensure your professional growth.
• Compelling benefits and employee wellbeing: Enjoy a comprehensive benefits package that rewards your hard work and dedication and take advantage of initiatives designed to support your physical and psychological health.
• Productivity tools: Utilize cutting-edge tools like Microsoft Copilot to enhance your productivity and efficiency.

Job Description: About the role: Advanced Analytics is an important capability for identifying new sources of competitive advantage at Cintra. The Senior Data Scientist will use geospatial analytics, mobility data, external data, and advanced analytical methods to address strategic business questions posed by management. The Senior Data Scientist will help define the analytical approach for each project, identify the appropriate internal and external data, and translate findings into clear business conclusions and recommendations. Responsibilities will also include supporting other analytics and Traffic & Revenue teams and staying current on emerging methods, data sources, and technologies. Although based in Austin, Texas, this person will support projects and teams across North America and Europe.

Key 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.
• Conduct geospatial and mobility analysis to understand travel patterns, route choice, customer behavior, network conditions, and external demand drivers.
• Identify, evaluate, and integrate external data sources, including connected-vehicle, mobile-device, routing, demographic, land-use, economic, weather, and event data.
• 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 geospatial analytics, mobility data, AI, external-data providers, and advanced analytical techniques.

Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements below are representative of the knowledge, skills, and abilities required to fulfill those duties. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Key Requirements:

• Master’s degree in Data Science, Statistics, Computer Science, Geographic Information Science,
• Transportation, Operations Research, Engineering, Economics, or a related quantitative field.
• 3 to 6 years of relevant professional experience in data science, geospatial analytics, mobility analytics, transportation analytics, or a related field.
• Strong proficiency in Python and SQL, with experience using Databricks, Spark, or similar cloud-based analytics platforms to process and analyze large, complex, and imperfect datasets.
• Experience applying statistical analysis, machine learning, predictive modeling, and exploratory analytical methods to real-world business problems.
• Experience with geospatial or mobility analytics, including spatial data, trip or trajectory data, origin-destination analysis, route analysis, or transportation networks.
• Experience with tools such as GeoPandas, PostGIS, ArcGIS, QGIS, or comparable geospatial technologies.
• 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.

Desirable Skills and Experience:

• 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.

Professional Qualities:

• Curious, research-oriented, and willing to explore new questions, data sources, and analytical approaches.
• Strong written and verbal communication skills, including the ability to explain technical findings in clear business language.
• Able to summarize findings and present conclusions and recommendations to management.
• Comfortable working with incomplete information, imperfect data, and questions without a predefined methodology.
• Able to manage multiple tasks and deadlines independently and in an organized manner.
• Collaborative, proactive, and able to work effectively across technical and business teams.

Work Environment & Physical Demands: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• The noise level in the work environment is usually quiet.
• Some travel required, may include air travel.
• The employee must occasionally lift and/or move up to 10 pounds.
• Specific vision abilities required by this job include ability to adjust focus, as necessary to use a computer.
• While performing the duties of this job, the employee is regularly required to talk or hear.
• The employee is frequently required to stand, walk, and sit.

Seize the challenge. Move the world together! Innovative, creative, respectful, and diverse are some of the ways we describe ourselves. We are motivated by challenges, and we collaborate across our business units to move the world together. Your journey to a fulfilling career starts here!

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.

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