Data Scientist

We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and try to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn.

We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and as an individual. We get involved, we like to know our people, we want every Enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy people. We want you to enjoy working with us.

We are seeking a highly organized and results-driven Mid-Level Data Scientist to support the development of analytical models that guide business decision-making.

The ideal candidate will have hands-on experience applying data science techniques such as regression, clustering, and feature analysis, combined with strong skills in statistical modeling, data analysis, and data visualization.

This role requires expert-level Python programming (particularly with Pandas and NumPy) and proficiency in SQL for working with diverse datasets. Familiarity with workflow orchestration tools (such as Dagster or Airflow) and data engineering concepts (ETL, data pipelines, data lakes/warehouses) is important to ensure data readiness for modeling.

The right candidate will be highly detail-oriented, capable of managing multiple data streams, and skilled at translating data into actionable business insights.

Requirements

-Strong hands-on experience with data science techniques: Regression, Clustering, Feature Engineering, and Feature Analysis.
-Experience in sstatistical modeling and predictive analytics.
-Advanced data analysis and data visualization skills.
-Python: strong knowledge of Pandas and NumPy.
-Solid SQL skills for data extraction, manipulation, and aggregation.
-Understanding of data engineering concepts: ETL pipelines, data orchestration, data lakes, and warehouses.
-Familiarity with workflow orchestration tools like Dagster, Airflow, or similar.
-Experience handling structured and semi-structured data formats (JSON, CSV, Parquet).
-Comfortable working with APIs and integrating different data sources.
-Experience with AWS is a plus (S3, RDS, etc.), but not required.
-Excellent organizational skills and attention to detail.

Benefits

• Monetary compensation
• Year-end Bonus
• IMSS, AFORE, INFONAVIT
• Major Medical Expenses Insurance
• Minor Medical Expenses Insurance
• Life Insurance
• Funeral Expenses Insurance
• Preferential rates for car insurance
• TDU Membership
• Holidays and Vacations
• Sick days
• Bereavement days
• Civil Marriage days
• Maternity & Paternity leave
• English and Spanish classes
• Performance Management Framework
• Certifications
• TALISIS Agreement: Discounts at ADVENIO, Harmon Hall, U-ERRE, UNID
• Taquitos Rewards
• Amazon Gift Card on your Birthday
• Work-from-home Bonus
• Laptop Policy
  

Equal employment

Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.