Senior Data Scientist

Webber Waterworks; Austin (TX); Vor Ort; USD 140.000 - 180.000; Vollzeit

Zusammenfassung

Cintra, the highways business unit of Ferrovial, is seeking a Senior Data Scientist based in Austin, TX. You will apply statistical analysis, machine learning, and advanced analytics to answer strategic questions about traffic and revenue, customer behavior, and business performance.

The role supports projects across North America and Europe, framing questions, selecting data and methods, building models, and translating findings into actionable recommendations.

Qualifikationen

• Master's degree in a quantitative field is required.
• At least three years of relevant professional experience.
• Strong analytical and problem-solving skills.

Aufgaben

• Execute analytics projects with goals to optimize traffic and revenue.
• Improve traffic and revenue forecasts using new data and techniques.
• Support business development analyses for new projects.
• Translate complex analyses into clear conclusions and recommendations.
• Collaborate across North America and Europe with project teams.
• Stay updated on data science advances and new data sources.
• Present insights and visualizations to management.

Kenntnisse

Advanced Analytics

Statistical analysis

Machine learning

Data science

Ausbildung

Master's degree in Data Science, Statistics, CS, Math or related

Tools

Microsoft Copilot

Jobbeschreibung

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 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.

The role will focus on extracting actionable insights from internal and third-party data to deepen understanding of demand drivers and business outcomes. This person will independently frame analytical questions, identify appropriate data and methods, develop and validate models, and translate findings into clear business conclusions and recommendations.

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.
• 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.

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, Mathematics, Operations Research, Engineering, Economics, or a related quantitative field.
• At least three years of relevant professional exp