Senior Data Scientist

About 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.

Responsibilities

• 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.

Requirements

• 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
• #LI-JD1

Benefits

Additional Information

Make a difference. Be happy. Grow your career.

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