About the Role
As a Data Scientist at Kyndryl, you will be the bridge between business problems and innovative solutions, utilizing a blend of methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You will dive deep into the business, understand objectives, convert knowledge into data problems, collect and explore data, and create hypotheses. You will transform business understanding, data understanding, and data preparation using statistical and mathematical modeling techniques to create models that solve intricate business challenges. You will deploy models as code, ensuring they sustain business value throughout their lifecycle. Your expertise will extend to understanding business processes, identifying issues, crafting solutions, and developing standards and policies for data security, privacy, accuracy, availability, and usability. You will also manage data, migration, strategy, change management, and policy and regulation.
Responsibilities
- Dive deep into the heart of our business, understanding its objectives and requirements
- Convert business knowledge into a data problem
- Collect and explore data, seeking underlying patterns and initial insights
- Create hypotheses
- Utilize statistical and mathematical modeling techniques to create models
- Evaluate models for accuracy and generalization
- Deploy models as code to applications and processes
- Ensure selected model(s) sustain business value throughout their lifecycle
- Become intimately familiar with business processes
- Identify issues and craft solutions that drive meaningful change
- Develop and apply standards and policies that protect data
- Ensure data is secure, private, accurate, available, and usable
- Manage data, migration, strategy, change management, and policy and regulation
Requirements
- Knowledge of modeling tools and programming languages in Python and CTT
- Excellent problem-solving, analytical, and critical thinking skills
- Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry
- Develop and deploy software components based on microservices architecture
- Strong technical knowledge in AI
- Strong coding experience in programming languages such as Python and/or C++
- Hands on experience developing and deploying AI Agents, RAG and vector/graph databases
- Experience with algorithms for mesh manipulation, Boolean operations, and geometric transformations
- Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Rivet) and/or programming libraries (e.g., OpenGL, CGAL, Three.js)
- Team player with the ability to work in a cross-functional team with excellent interpersonal skills
- Strong communication skills, both verbal and written, as well as strong presentation and engagement skills
- Possess the required experience to prove you're good at what you do
- Have a growth mindset; keen to drive your own personal and professional development
- Be customer-focused – someone who prioritizes customer success in their work
- Be open and borderless – naturally inclusive in how you work with others
Skills
- Python
- CTT
- AI
- C++
- AI Agents
- RAG
- Vector databases
- Graph databases
- Mesh manipulation algorithms
- Boolean operations algorithms
- Geometric transformation algorithms
- 3D modeling software
- CAD software
- Blender
- Rivet
- OpenGL
- CGAL
- Three.js
- Problem-solving
- Analytical skills
- Critical thinking skills
- Interpersonal skills
- Communication skills (verbal and written)
- Presentation skills
- Engagement skills
Location
- Remote
- Hybrid
Work Type
- Hybrid
Experience Level
- Required experience
Benefits
- Flexible, supportive environment where well-being is prioritized
- Opportunities for career growth
- Hands-on experience
- Learning opportunities
- Chance to certify in all four major platforms
- Be Well programs designed to support financial, mental, physical, and social health
- Impactful work that powers customer systems
- Meaningful projects that sharpen skills and fuel growth
- Tools to chart career path
- Personalized development goals
- Continuous feedback
- Access to cutting-edge learning opportunities
- Certifications with Microsoft, Google, and Amazon
- Coaching
- Hands-on experiences
About the Company
- Kyndryl runs and reimagines mission-critical technology systems that drive advantage for the world’s leading businesses.
- Kyndryl is 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.
- Kyndryl prioritizes employee well-being and potential for growth.
- The "Kyn" in Kyndryl means kinship, representing strong bonds with each other, customers, and communities.
- Kyndryl focuses on ensuring all employees feel included and welcomes people of all cultures, backgrounds, and experiences.
- Kyndryl believes in growth and encourages applications even if not every requirement is met.
- Kyndryl's number one driver of employee engagement is belonging.
- Kyndryl fosters a sense of belonging—being a valued, respected, trusted member of the team—which is fundamental to its culture.
- Kyndryl's dedication to welcoming everyone enables employees to thrive and contribute to a culture of empathy and shared success.
Equal Opportunity
- Kyndryl welcomes people of all cultures, backgrounds, and experiences.
- Even if you don’t meet every requirement, we encourage you to apply.
- Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success.
