Data Scientist

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. Listed on three major stock markets: Nasdaq (US), Euronext Amsterdam (Netherlands) and IBEX 35 (Spain), we are also member of the Dow Jones Sustainability Index and FTSE4Good. We operate in more than 15 countries and have a workforce of over 24,000 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:

Cintra, a Ferrovial company, develops and manages toll roads and transport infrastructure around the world. The Customer Analytics department within Cintra is responsible for exploring and identifying future sources of competitive advantage. The Data Scientist will perform data and statistical analyses to address strategic business questions posed by management. Responsibilities include communicating findings to management and supporting the work of other analytics teams. The Data Scientist is expected to stay up to date on new analytical methods, data sources, and techniques. This position is based in Austin, TX, and supports projects and teams across North America and Europe.

Essential Duties and Responsibilities

• Execute Customer Analytics projects with three strategic goals:

• Develop revenue optimization strategies for existing toll concessions.

• Build models to accurately forecast traffic and revenue using existing and new data sources and analytical techniques; identify key variables affecting forecasts through machine learning and statistical analysis.

• Design experiments and develop/execute measurement plans to evaluate new initiatives in a test & learn environment.

• Stay informed of new developments in analytics techniques, systems, data sources, and providers, and evaluate opportunities to apply them to benefit Cintra.

Qualifications (Knowledge, Skills & Abilities)

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

Key Requirements

• Advanced degree (M.S. or Ph.D.) in quantitative fields such as Operations Research, Data Science, Statistics, Computer Science, Industrial Engineering, or a related discipline from an accredited institution.

• 1-3 years of experience building advanced analytical models that demonstrate measurable business impact.

• Proficiency in advanced analytical techniques such as regression, classification, clustering, tree-based methods, and optimization models.

• Experience performing statistical analysis of controlled experiments.

• Experience using SQL and/or Spark to process, clean, and analyze large datasets.

• Experience with R and/or Python.

• Experience working with Databricks.

Professional Qualities

• A research-oriented and innovative mindset-curious, proactive, and eager to explore new ideas.

• Strong written and verbal communication skills, particularly in technical report writing.

• Ability to summarize, present, and explain findings and conclusions to management.

• Strong task management skills and the ability to meet strict deadlines independently and in an organized manner.

• Ability to collaborate effectively within a self-managed team structure.

• Demonstrates strong problem-solving skills.

Work Environment & Physical Demands

The work environment and physical demands described here are representative of those an employee may encounter while performing the essential functions of this job. Reasonable accommodation may be provided to enable individuals with disabilities to perform these functions.

• The noise level in the work environment is usually quiet.

• Some travel is required, which may include air travel.

• The employee must occasionally lift and/or move up to 10 pounds.

• Vision requirements include the ability to adjust focus, particularly for computer use.

• 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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