Nordic Global
Senior Data Scientist
About this role
Make a difference. Be happy. Grow your career. The Role Nordic, repeat Best in KLAS IT Services Firm and solely serving the healthcare industry, strives to empower healthcare providers to leverage technology and to realize digital transformation. All Nordic staff embrace Nordic’s maxims and mission to serve our customers who care so well for us. Key Responsibilities The Senior Data Scientist applies strong expertise in machine learning, data science, and other artificial intelligence techniques to design, prototype and build next generation advanced analytics engines and services to solve complex healthcare industry problems. The Senior Data scientist should also have awareness about Gen AI & Agentic AI concepts and have a point of view on how traditional data science workflows can evolve harnessing the power of Generative AI & Agentic AI. The data scientist collaborates with business partners (clinicians / supply chain / HR across healthcare organizations) to define the technical problem statement and hypothesis to test and develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team. Essential Job Functions
- Collaborates with business partners to develop novel ways to meet business objectives utilizing machine learning and AI techniques and tools.
- Effectively communicates the data science / machine learning approach and how it will meet and address objectives to business partners.
- Advocates and educates business partners on the machine learning process and reasoning for solving problems with data-driven decision making.
- Leads analytic approaches to integrate machine learning output into applications and tools with data engineers, business leads, analysts, and developers.
- Creates repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products.
- Engineers features by using business acumen (including healthcare industry knowledge) to find new ways to combine disparate internal and external data sources.
- Identifies and develops scalable processes, frameworks, tools, methods and standards.
- Collaborates and learns with a growing team of experienced data scientists.
- Stays connected with external sources of ideas through conferences and community engagements. Skills and Experience
- Generally, requires a Bachelor's degree and 12 years of related experience or a Master's degree and 8 years of related experience.
- Experience building end to end data science / machine learning solutions that have delivered tangible business value (required)