{"id":3350612,"url":"https://alion.io/job/ferrovial-senior-data-scientist","title":"Senior Data Scientist","company":{"id":5225,"name":"Ferrovial","domain":"ferrovial.com","url":"https://alion.io/company/ferrovial","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":66,"ghost_share":0,"stale_share":0.742,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":196000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-10-27T18:26:47Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-27T23:52:05Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Join Ferrovial: Where Innovation Meets Opportunity\nAre 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.\nCintra 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. \nWe 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.\nWhy Ferrovial?\nGlobal 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.\nCollaborative excellence: Work alongside talented professionals in a collaborative environment where your ideas and contributions are valued. \nInclusive Culture: Thrive in an innovative and respectful workplace that values every voice, celebrates what makes us unique and turns differences into innovation.\nCareer growth: Benefit from global and cross-business unit mobility, with development processes designed to ensure your professional growth.\nCompelling 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.\nProductivity tools: Utilize cutting-edge tools like Microsoft Copilot to enhance your productivity and efficiency.\nJob Description:\nAbout the role:\nAdvanced 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.\nThe 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.\nAlthough based in Austin, Texas, this person will support projects and teams across North America and Europe.\nKey responsibilities:\nExecute Advanced Analytics projects with three strategic goals:\nOptimize traffic and revenue performance at existing projects.\nImprove Traffic & Revenue forecasts by using new data and analytical techniques to better understand the main factors affecting demand and revenue.\nSupport Business Development activities and the analysis of new projects.\nApply advanced analytical methods to understand traffic and revenue trends, travel patterns, driver choice, network conditions, and key demand drivers.\nIdentify, evaluate, and integrate internal and third-party data sources to support Traffic & Revenue studies and broader business questions.\nSupport Advanced Analytics projects conducted by Cintra’s major projects and Traffic & Revenue teams in North America and Europe.\nTranslate complex analysis into clear conclusions, recommendations, visualizations, and presentations for management.\nStay 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. \nQualifications:\nTo 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.\nKey Requirements:\nMaster’s degree in Data Science, Statistics, Computer Science, Mathematics, Operations Research, Engineering, Economics, or a related quantitative field. \nAt least three years of relevant professional experience in data science, advanced analytics, statistical modeling, or a related field. \nStrong proficiency in Python and SQL, including experience processing, combining, and analyzing large, complex, and imperfect datasets. \nExperience using Databricks, Spark, or similar cloud-based analytics platforms. \nDemonstrated experience applying statistical analysis, machine learning, predictive modeling, and exploratory analytical methods to real-world business problems. \nExperience working with transactional, customer, operational, financial, or other business data, including integrating multiple sources at different levels of granularity. \nStrong understanding of model validation, analytical assumptions, data leakage, and the distinction between correlation and causation. \nAbility to independently structure business questions, select appropriate data and methods, and develop defensible analytical conclusions. \nExperience developing clear visualizations and communicating analytical findings and business implications to management.\nDesirable Skills and Experience:\nExperience working with connected-vehicle, mobile-device, routing, transaction, demographic, land-use, weather, event, economic, or similar external data.\nExperience in transportation, toll roads, managed lanes, mobility, infrastructure, logistics, or location intelligence.\nExposure to route choice, pricing, revenue management, customer behavior, or Traffic & Revenue forecasting.\nExperience with cloud-based data platforms, Git, and reproducible analytical workflows.\nProfessional Qualities:\nCurious, research-oriented, and willing to explore new questions, data sources, and analytical approaches.\nStrong written and verbal communication skills, including the ability to explain technical findings in clear business language.\nAble to summarize findings and present conclusions and recommendations to management.\nComfortable working with incomplete information, imperfect data, and questions without a predefined methodology.\nAble to manage multiple tasks and deadlines independently and in an organized manner.\nCollaborative, proactive, and able to work effectively across technical and business teams.\nWork Environment & Physical Demands:\nThe 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.\nThe noise level in the work environment is usually quiet.\nSome travel required, may include air travel.\nThe employee must occasionally lift and/or move up to 10 pounds.\nSpecific vision abilities required by this job include ability to adjust focus, as necessary to use a computer.\nWhile performing the duties of this job, the employee is regularly required to talk or hear. \nThe employee is frequently required to stand, walk, and sit.\nSeize 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!\nFerrovial 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.\n#WeAreFerrovial","description_format":"text","description_chars":8760,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"region"},{"name":"Germany","iso":"DE","kind":"region"},{"name":"France","iso":"FR","kind":"region"},{"name":"United 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