Data Scientist

Description

• Productivity tools: Utilize cutting-edge tools like Microsoft Copilot to enhance your productivity and efficiency.
• Design experiments and develop/execute measurement plans to evaluate new initiatives in a test & learn environment.
• Execute Customer Analytics projects with three strategic goals:
• The employee is frequently required to stand, walk, and sit.
• While performing the duties of this job, the employee is regularly required to talk or hear.
• 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.
• Develop revenue optimization strategies for existing toll concessions.
• Stay informed of new developments in analytics techniques, systems, data sources, and providers, and evaluate opportunities to apply them to benefit Cintra.

Requirements

• 1–3 years of experience building advanced analytical models that demonstrate measurable business impact.
• Experience using SQL and/or Spark to process, clean, and analyze large datasets.
• 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.
• Strong task management skills and the ability to meet strict deadlines independently and in an organized manner.
• Strong written and verbal communication skills, particularly in technical report writing.
• Experience working with Databricks.
• Some travel is required, which may include air travel.
• Ability to summarize, present, and explain findings and conclusions to management.
• Ability to collaborate effectively within a self-managed team structure.
• Experience performing statistical analysis of controlled experiments.
• Demonstrates strong problem-solving skills.
• Vision requirements include the ability to adjust focus, particularly for computer use.
• Experience with R and/or Python.
• Proficiency in advanced analytical techniques such as regression, classification, clustering, tree-based methods, and optimization models.
• The employee must occasionally lift and/or move up to 10 pounds.

Benefits

• Collaborative excellence: Work alongside talented professionals in a collaborative environment where your ideas and contributions are valued.
• Career growth: Benefit from global and cross-business unit mobility, with development processes designed to ensure your professional growth.
• Inclusive Culture: Thrive in an innovative and respectful workplace that values every voice, celebrates what makes us unique and turns differences into innovation.
• 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.

Training + Development

Interview process

Visa Sponsorship

Security clearance