Kyndryl is looking for a Data Scientist to bridge business problems with innovative solutions by leveraging data, statistics, mathematics, domain expertise, consulting, and software engineering.
Requirements
- Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
- Cloud platform certification, e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate
- Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
Responsibilities
- 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.
- Collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
- 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.
- Evaluate these models to ensure they not only solve business problems but do so optimally.
- Deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
- Develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable.
- Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
Other
- 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
- Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering
- Professional certification, e.g., Open Certified Data Scientist
