Data Scientist

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

Are you ready to join the team of software engineering experts at Kyndryl? We are seeking a talented Software Engineering Technical Specialist to contribute to our software engineering space and provide critical skills required for the development of cutting-edge products.  
As a Software Engineering Technical Specialist, you will develop solutions in specific domains such as Security, Systems, Databases, Networking Solutions, and more. You will be a leader – contributing knowledge, guidance, technical expertise, and team leadership skills. Your leadership will be demonstrated in your work, to your customers, and within your teams.
At Kyndryl, we value effective communication and collaboration skills. When you recognise opportunities for business change, you will have the ability to clearly and persuasively communicate complex technical and business concepts to both customers and team members. You’ll be the go-to person for problem-solving of customers’ business and technical issues. You have a knack for effectively identifying and framing problems, leading the collection of elements of information, and integrating this information to produce timely and thoughtful decisions. Your aim throughout, is to improve the effectiveness, efficiency and delivery of services through the use of technology and technical methods and methodologies.
Driving the design, development, integration, delivery, and evolution of highly scalable distributed software you will integrate with other layers and offerings. You will provide deeper functionality and solutions to address customer needs. You will work closely with software engineers, architects, product managers, and partner teams to get high-quality products and features through the agile software development lifecycle.
Your continuous grooming of features/user stories to estimate, identify technical risks/dependencies and clearly communicate them to project stakeholders will ensure the features are delivered with the right quality and within timeline. You will maintain and drive the clearing of technical debt, vulnerabilities, and currency of the 3rd party components within the product.
As a Software Engineering Technical Specialist, you will also coach and mentor engineers to design and implement highly available, secure, distributed software in a scalable architecture. This is an opportunity to make a real impact and contribute to the success of Kyndryl's innovative software products. Join us and become a key player in our team of software engineering experts!
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Who You Are

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Position Overview

We are seeking an experienced Senior Data Scientist with 8 years of expertise to lead data-driven initiatives and advanced analytics projects. The ideal candidate will have deep knowledge of data warehousing, data lakes, and modern database technologies, with proven ability to extract actionable insights from complex datasets and drive strategic business decisions.

Key Responsibilities

Data Strategy & Architecture

• Design and implement comprehensive data strategies aligned with business objectives
• Lead the development of scalable data warehousing and data lake solutions
• Architect end-to-end data pipelines for batch and real-time processing
• Establish data governance frameworks and best practices across the organization

Advanced Analytics & Machine Learning

• Develop and deploy sophisticated machine learning models for predictive analytics, classification, and optimization
• Design and execute A/B tests and statistical experiments to measure business impact
• Create advanced statistical models for forecasting, risk assessment, and customer analytics
• Implement deep learning solutions for complex pattern recognition and NLP tasks

Data Engineering & Platform Management

• Manage and optimize data infrastructure across cloud and on-premises environments
• Design ETL/ELT processes for large-scale data integration and transformation
• Implement data quality monitoring and automated data validation systems
• Optimize database performance and query efficiency across multiple platforms

Leadership & Collaboration

• Mentor junior data scientists and analysts, providing technical guidance and career development
• Collaborate with cross-functional teams including engineering, product, and business stakeholders
• Present complex analytical findings to executive leadership and non-technical audiences
• Lead data science initiatives and drive adoption of analytics across business units

Required Qualifications

Experience & Background

• 7 + years of experience in data science, analytics, or related quantitative fields
• Advanced degree (Master's/PhD) in Data Science, Statistics, Computer Science, Mathematics, or related field
• Proven track record of delivering high-impact data science projects in enterprise environments

Technical Skills

Programming & Analytics

• Expert proficiency in Python and R for data analysis and machine learning
• Advanced SQL skills with experience in complex query optimization
• Proficiency in statistical analysis, hypothesis testing, and experimental design
• Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost)

Database Technologies

• Azure: Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, Cosmos DB
• Oracle: Oracle Database, Oracle Autonomous Database, Oracle Analytics Cloud
• MongoDB: Document database design, aggregation pipelines, MongoDB Atlas
• Additional Databases: PostgreSQL, MySQL, Cassandra, Redis, Elasticsearch
• Experience with both SQL and NoSQL database architectures

• PostgreSQL: Advanced query optimization, performance tuning, and analytics functions
• MySQL: Database administration, replication, and analytics workloads
• SQL Server: SSIS/SSRS/SSAS, T-SQL programming, and data warehousing solutions

Data Platforms & Tools

• Data Warehousing: Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse
• Data Lakes: Azure Data Lake, Amazon S3, Google Cloud Storage, Hadoop HDFS
• ETL/ELT Tools: Apache Airflow, Azure Data Factory, Informatica, Talend
• Big Data Technologies: Apache Spark, Kafka, Hadoop ecosystem
• Visualization: Tableau, Power BI, Looker, matplotlib, plotly

Cloud Platforms

• Microsoft Azure (primary focus with data services expertise)
• AWS or Google Cloud Platform experience preferred
• Understanding of cloud-native data architectures and serverless computing

Soft Skills

• Exceptional analytical and problem-solving abilities
• Strong communication skills with ability to explain complex concepts to diverse audiences
• Leadership experience with track record of mentoring and developing team members
• Project management skills with experience in Agile/Scrum methodologies
• Business acumen with ability to translate data insights into strategic recommendations

Preferred Qualifications

• Experience with real-time streaming analytics and event-driven architectures
• Knowledge of MLOps practices and model deployment in production environments
• Familiarity with containerization technologies (Docker, Kubernetes)
• Experience with data privacy regulations (GDPR, CCPA) and data security best practices
• Industry-specific domain expertise (finance, healthcare, retail, etc.)
• Certifications in cloud platforms (Azure Data Scientist Associate, AWS Certified Data Scientist)

Being You

Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.

What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.  At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.