Data Science

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

**Job Description**:

- We are looking for a professional who brings his/her knowledge and experience in Data and artificial intelligence to implement and maintain Data & MLOps platforms in hyperscalers integrated with our customers' tools and methodologies.- We look for a person with a deep technical understanding of Machnie Learning as well as the concepts behind ML tools and Data enviroments in hyperscalers, specially Google Cloud (Big Query, Dataproc, Dataform and Dataplex).- We are just beginning to grow our Data and AI offerings, you should be ready to do whatever is necessary to make our team stronger.- You will work both on Kyndryl teams where we are building Machine Learning, Data or Generative AI solutions for our clients as well as with customers who are learning how to build MLOps in to their existing data environments.- Soft skills are a must to be successful. Must be able to ask well thought out questions and then be a good listener for the answer. 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.

You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.

In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.

If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.

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

Who You Are

Required Technical and Professional Expertise
- Strong understanding of Data services in Google Cloud Platform (Big Query, Dataproc, Dataform, Dataplex, LookerStudio...).
- Knowledge of Python and the libraries required for data engineering (Pyspark, Pandas, etc )
- Knowledge of MLOps/LLMOps platforms and methods, desirable in Dataiku.
- Understanding of monitoring, logging, and troubleshooting tools in GCP, and desirable in Dataiku.
- Collaboration skills to work with data scientists, data engineers, and other stakeholders and excellent communication skills and the ability to document processes.- Preferred Technical and Professional Experience- BS, MS, or PhD in Mathematics, Computer Science, or a related field.
- Knowledge of DevOps practices and continuous integration/continuous delivery (CI/CD) pipelines.
- Experience with containerization tools such as Docker and orchestration tools like Kubernetes for models.
- Certifications in GCP (Professional Cloud Architects, Professional Data Engineer or Professional Machine Learning)

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.

Required Skills and Experience
- Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
- Excellent problem-solving, analytical, and critical thinking skills
- Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences
- Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail

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