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Senior Data Scientist

Motivus

Estado de México

Presencial

MXN 400,000 - 600,000

Jornada completa

Hace 5 días
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Descripción de la vacante

A leading technology firm is seeking a Senior Data Scientist for an on-site position in Mexico City. The ideal candidate will have over 5 years of experience in developing predictive analytical solutions and a strong foundation in machine learning and statistics. Responsibilities include assessing viability and risks, presenting results, and maintaining automated ML pipelines. The role offers growth opportunities and a collaborative working environment, focusing on innovation and professional development.

Servicios

Career growth opportunities
Work on cutting-edge technologies
Collaborative work environment
Learning and development programs

Formación

  • 5+ years of experience as a Data Scientist.
  • Strong foundations in statistics and evaluating ML models.
  • Experience in exploratory data analysis and root cause analysis.

Responsabilidades

  • Develop predictive analytical solutions and deploy them.
  • Assess viability and risks of analytical solutions.
  • Present results to user areas and maintain ML pipelines.

Conocimientos

Python
Machine Learning models
ML operations (MLOps)
Jupyter Notebook
Data Science platforms
TensorFlow
PyTorch
Scikit-Learn
Conversational English
Descripción del empleo

Job Title : Senior Data Scientist

Location : On-site - Mexico City

About Motivus

At Motivus, we believe in unlocking human potential through innovative, cutting-edge solutions. With over 1,600 team members across 5 countries, we provide a full spectrum of software and digital services. Our teams are dedicated to driving sustainability, pushing the boundaries of technology, and building the next generation of world-class digital solutions that empower our clients and make a lasting impact. As part of our team, you’ll work alongside forward-thinking professionals committed to creating groundbreaking solutions that shape the future of the industry.

Position Overview

Data Scientist specialized in developing predictive analytical solutions and deploying them into production. They will assess the viability, risks, and proper functioning of the solution.

Qualifications
  • 5yoe roles related Data Scientist
  • Python (Advanced).
  • Strong foundations in statistics, particularly ML models and metrics to evaluate their effectiveness.
  • Solid experience in software development applying ML algorithms.
  • Experience in ML operations with an emphasis on MLOps.
  • Experience performing exploratory analysis and uncovering data insights, as well as proposing possible root causes.
  • Experience validating results.
  • Experience presenting results to user areas.
  • Develop and maintain highly automated ML pipelines for training, validation, and large-scale model deployment.
  • Jupyter Notebook
  • Data Science platforms
  • Advanced programming skills in Python and knowledge of ML libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.
  • Knowledge in the use and development of applications with LLMs (desirable).
  • Conversational English
Why Join Us?
  • Grow Your Career : At Motivus, you will have the opportunity to expand your skills and take on leadership roles in diverse projects.
  • Work on Emerging Tech : Be at the forefront of innovation by working with cutting-edge technologies and methodologies.
  • Collaborative Environment : Work with talented teams that value your ideas and contributions.
  • Learning and Development : We offer a range of L&D programs to help you advance your career.
  • Client-Centric Approach : Contribute to solutions that create lasting value for global Fortune 500 clients.
Our Values
  • Culture of Innovation : We pursue innovation relentlessly, encouraging our teams to explore new ideas and technologies.
  • Responsibility : We give back to the communities that support us and our clients.
  • Learning & Development : Our employees lead, learn, and grow, supporting themselves and our clients.

Motivus is an equal opportunity employer and encourages diversity and inclusion in the workplace.

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