Científico de Datos Senior – ML e Insights Híbrido

Placements24; Aguascalientes; Hybrid; MXN 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary package

Comprehensive health insurance

Professional development and learning

Collaborative work environment

Hybrid work model

Retirement savings plans

Research tools access

Bonuses and recognition

Job summary

WhatJobs Direct in Aguascalientes, MX is seeking an exceptional Senior Data Scientist to join their R&D team. This role focuses on advancing statistical modeling and machine learning to drive business insights and cuting-edge solutions across projects.

The ideal candidate holds a Master’s or PhD in a quantitative field, with 5+ years of experience, expert Python or R skills, and proficiency in ML libraries, SQL/NoSQL, and big data tools. You will mentor others and help set strategic directions.

Qualifications

• Masters or PhD in a quantitative field required.
• 5+ years in data science or a similar role.
• Strong programming in Python or R with ML libraries.
• Proficient SQL/NoSQL and data analysis expertise.
• Experience with big data technologies is a plus.

Responsibilities

• Design, develop, and implement advanced statistical models and ML algorithms.
• Analyze large datasets to identify trends and actionable insights.
• Collaborate with cross-functional teams to define goals and metrics.
• Develop data-driven strategies to improve outcomes.
• Mentor junior data scientists and maintain data integrity.

Skills

Analytical thinking

Problem-solving

Communication

Team collaboration

Education

Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related quantitative field

Tools

Python

R

TensorFlow

PyTorch

scikit-learn

SQL

NoSQL

Spark

Hadoop

Job description

WhatJobs Direct in Aguascalientes, MX is seeking an exceptional Senior Data Scientist to join their R&D team. This role focuses on advancing statistical modeling and machine learning to drive business insights and cuting-edge solutions across projects.

The ideal candidate holds a Master’s or PhD in a quantitative field, with 5+ years of experience, expert Python or R skills, and proficiency in ML libraries, SQL/NoSQL, and big data tools. You will mentor others and help set strategic directions.