Exeltis México

Data Science Lead

Job Location

Mexico City, Mexico

Job Description

We are seeking a highly skilled, motivated, and tech-savvy Data Scientist to join our team. The ideal candidate is not only passionate about technology, analytics and artificial intelligence, but also thrives in converting complex data into actionable insights that drive business decisions. About the Role The Data Scientist will play a crucial role in analyzing data and providing insights that will inform business strategies. Responsibilities Perform high-level statistical analysis to interpret data and extract valuable insights. Generate comprehensive reports and present findings to the management, offering actionable recommendations. Design and build web-based applications for data visualization and user interaction. Collaborate with cross-functional teams to understand data needs and deliver solutions. Qualifications Bachelor's or Master's degree in Statistics, Mathematics, Machine Learning, Computer Science, Engineering, or a related field. Required Skills Strong statistical background, knowledge of the underlying mechanisms and assumptions of ML algorithms. Proficiency in Python is a must. Highly valued knowledge of HTML, CSS, and JavaScript. Highly valued experience with LLMs (fine-tuning & in-context learning) and orchestrating tools and agents (preferably langchain). Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Ability to learn quickly, work independently, and collaborate with team members from different backgrounds. Preferred Skills Experience in data visualization tools. Familiarity with cloud computing platforms. Pay range and compensation package Competitive salary based on experience and qualifications. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices.

Location: Mexico City, Mexico, MX

Posted Date: 9/2/2025
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Exeltis México

Posted

September 2, 2025
UID: 5352197554

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