Senior Lead, Data Science
Kyndryl · CRAFZ Heredia (CRAFZ) Afz, Costa Rica
About this role
Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress
Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer
As a Full-Stack Senior Lead Data Scientist, you will bring a diverse skill set across data collection, analysis, model development, and deployment. You will collaborate closely with the data engineer and data scientist to develop predictive models, implement machine learning algorithms, and deploy end-to-end solutions that optimize our workforce strategies. This role demands proficiency across the full data science lifecycle, from data wrangling to delivering insights via advanced visualizations
Specifically, you'll be responsible for: End-to-End Data Science Solutions: Build, deploy, and maintain full-stack data science solutions, from data extraction to machine learning model deployment and monitoring. Collaboration with Data Engineering and Science: Partner with the data engineer and data scientist to ensure clean, structured data is available for analysis and predictive modeling. Participate in designing scalable data pipelines and architectures to support analytical and machine learning workflows
Machine Learning Model Development: Design and implement advanced machine learning models, including reg
Apply for this role on Kyndryl’s official careers site.