Kyndryl
SeniorLead,DataScience
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Lead, Data Science at Kyndryl. Skills: full-stack data science, model development, deployment, API integration, data visualization, optimization models. Build, deploy, and maintain full-stack data science solutions, from data extraction to machine learning model deployment and monitoring.. Design and implement advanced machine learning models, including regression, classification, and clustering techniques, to predict workforce needs and identify skills gaps.”
Industry & Context.
bridge between business problems and innovative solutions; each day will present a new puzzle to solve, a new challenge to conquer.
What They're Looking For.
Must Have
Master's in Data Science, Computer Science, Statistics, or a related field., 5-8 years of experience as a data scientist with a focus on full-stack data science, including model building, deployment, and API development., Proficiency in Python, R, or similar languages for statistical modeling and machine learning., Experience with big data platforms (e.g., Hadoop, Spark) and cloud services (AWS, Azure, GCP)., SQL skills and familiarity with both relational and NoSQL databases., Expertise in building and deploying machine learning models (e.g., TensorFlow, PyTorch)., Experience with data visualization tools such as Power BI, Tableau, or similar., Familiarity with RESTful APIs and integrating machine learning models into business applications., understanding of optimization algorithms, data architecture, and performance monitoring., Excellent communication skills to translate technical findings into actionable business insights., Proficient in English language - verbal and written
Nice to Have
Familiarity with workforce analytics, HR data, and related systems., Knowledge of graph databases (e.g., Neo4j, GraphQL) is a plus.
What You'll Do.
and maintain full-stack data science solutions
from data extraction to machine learning model deployment and monitoring.
Design and implement advanced machine learning models
and clustering techniques
to predict workforce needs and identify skills gaps.
Develop APIs to integrate machine learning models into enterprise applications and workflows
enabling real-time decision-making.
Ensure data integrity
and accuracy across multiple platforms
working closely with data governance teams to align processes.
Use data visualization tools (e.g.
Power BI) to translate complex analytical insights into actionable business recommendations for HR
and other stakeholders.
Implement optimization algorithms to recommend actions such as hiring
or workforce engagement based on model outputs and business constraints.
Continuously track model performance and refine processes for model efficiency and scalability.
How You'll Work.
Team & Collaboration
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.; 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.; working closely with data governance teams to align processes.; translate complex analytical insights into actionable business recommendations for HR, business leaders, and other stakeholders.
Communication Scope
Excellent communication skills to translate technical findings into actionable business insights.; Proficient in English language - verbal and written
Full Job Description
**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
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