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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 artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The Senior Data scientist should also have some awareness about Gen AI & Agentic AI concepts, and have a point of view on how the traditional data science workflows can evolve harnessing power of Generative AI & Agentic AI. The data scientist collaborates with business partners 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 objectives utilizing cutting edge techniques and tools.
- Effectively communicates the analytics approach and how it will meet and address objectives to business partners.
- Advocates and educates on the process and reasoning for solving problems with data-driven decision making.
- Leads analytic approaches to integrate work 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 to find new ways to combine disparate internal and external data sources.
- Identifies and develops long-term 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.
- Masters, Data Science, Computer Science, Engineering, or Statistics (preferred)
Doctorate, Data Science, Computer Science, Engineering, or Statistics (preferred)
Minimum Years of Experience
- 8+ years' experience in a data science role (required)
- 8+ years' experience in a data engineering, analyst, or architecture role (required)
- 8+ years' experience in a data science role (preferred)
Other Knowledge, Skills and Abilities Required
- Python
- SQL, Databricks
- Machine Learning concepts and engineering tools
- Good grasp of Generative AI and Agentic AI concepts
- Model deployment and maintenance
- BI tools (e.g., Tableau, PowerBI)
- Attention to detail
- Critical thinking
- Relationship building
- Ability to work with technical and non-technical stakeholders
- Requirements translation
- Agile work process
- Continuous learner
Nordic is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital or veteran status, or any other protected status under applicable federal, state, or local laws. We encourage individuals of all backgrounds to apply, including women, minorities, individuals with disabilities, and veterans.
