Detalle de la Oferta

Descripción de la Oferta

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 regression, classification, and clustering techniques, to predict workforce needs and identify skills gaps.
•API Development and Integration: Develop APIs to integrate machine learning models into enterprise applications and workflows, enabling real-time decision-making.
•Data Management: Ensure data integrity, consistency, and accuracy across multiple platforms, working closely with data governance teams to align processes.
•Advanced Data Visualization: Use data visualization tools (e.g., Tableau, Power BI) to translate complex analytical insights into actionable business recommendations for HR, business leaders, and other stakeholders.
•Optimization Models: Implement optimization algorithms to recommend actions such as hiring, training, or workforce engagement based on model outputs and business constraints.
•Performance Monitoring and Improvement: Continuously track model performance and refine processes for model efficiency and scalability.

profile: 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 regression, classification, and clustering techniques, to predict workforce needs and identify skills gaps

Experiencia Requerida