Data Scientist: AI & Analytics for Real-World Impact

McKinsey; Monterrey; On-site; MXN 900,000 - 1,300,000; Full time

Job summary

McKinsey & Company in Monterrey is seeking a creative problem-solver to develop analytics solutions, build models, and translate business problems into actionable insights across industries.

You will collaborate with data scientists, data engineers, ML engineers, designers, and product managers around the world to deliver real-world impact and measurable improvements. Fluency in English and Spanish, plus 2+ years of ML experience, are valued as you grow within a supportive leadership team.

Qualifications

• 2+ years of experience applying ML and data mining techniques to large, real-world datasets.
• Strong background in computer science, engineering, statistics, mathematics, or physics.
• Ability to lead and drive model development independently, balancing quality and deadlines.
• Experience with Python and SQL.
• Business level fluency in English and Spanish.

Responsibilities

• Develop analytics solutions and solve real-world business problems across industries.
• Translate business problems into analytical challenges, build models, and evaluate with relevant metrics.
• Collaborate with data scientists, data engineers, ML engineers, designers, and product managers worldwide.

Skills

Python

ML/DS techniques

Data analysis

Prototyping

Bilingual English/Spanish

Education

Bachelor's degree in CS, statistics, math, or related field

Master's degree in CS/AI or related field (preferred)

Tools

SQL

Job description

McKinsey & Company in Monterrey is seeking a creative problem-solver to develop analytics solutions, build models, and translate business problems into actionable insights across industries.

You will collaborate with data scientists, data engineers, ML engineers, designers, and product managers around the world to deliver real-world impact and measurable improvements. Fluency in English and Spanish, plus 2+ years of ML experience, are valued as you grow within a supportive leadership team.