Lead Data Scientist (Internal Only)

OrthoNebraska creates the inspired healthcare experience all people deserve by giving people a direct path to personalized care and life-enhancing outcomes. With a focus on safety and people, we set the bar high in providing high-quality care with an unmatched experience. Our team members are critical to our success and growth and are rewarded for their dedication and hard work. IF this sounds like the type of team and environment you want to be a part of apply today!

Position Summary: The Lead Data Scientist leverages data science to make a meaningful impact in healthcare.

Position details

Position Requirements

Education: Bachelor's degree in data science, statistics, mathematics, or a related field preferred OR combined education and work experience. Master's degree preferred.

Licensure: N/A

Certification: N/A

Experience: 5+ years of experience in data analysis or data science roles preferred. Exposure to financial and operational data, medical records, and information management systems preferred.

Required Knowledge/Skills/Abilities

• Strong analytical skills, with experience in data analysis, performance measurement.
• Excellent communication, presentation, and interpersonal skills, with the ability to engage and inform multidisciplinary teams.
• Proven time management skills, with the ability to manage multiple priorities and meet deadlines.
• Excellent problem-solving and critical-thinking abilities, with a keen attention to detail.
• Experience with data visualization tools such as PowerBI, Looker, or Tableau.
• Familiarity with data platforms like such as Snowflake or Databricks is highly desirable.
• Proficiency in programming languages such as Python, SQL, or R is preferred.
• Experience with cloud computing platforms like AWS, Azure, or Google Cloud preferred.
• Understanding of MLOps best practices for version control and product deployment preferred.
• Knowledge of statistical techniques and machine learning algorithms for regression, classification, and clustering preferred.
• Strong understanding of healthcare data standards, privacy regulations (e.g., HIPAA), and security best practices preferred.

Essential Job Functions

• Data Platform Development & Validation
  • Assist in the setup, testing, and optimization of internal data platform.
  • Validate data integrity between source systems and the data platform.
  • Support the migration of existing analytics workflows and reports to the new data platform.
  • Assist Data Engineering in the design and optimization of data pipelines to integrate data.
  • Work closely with data engineers and IT teams to define data governance, security, and compliance best practices.
  • Actively monitor and contain cloud resource utilization and expense through code efficiencies and deploying optimal solutions.
• Predictive Modeling, Machine Learning, & Advanced Analytics
  • Develop and implement predictive models to improve patient outcomes, operational efficiency, and financial decision-making.
  • Apply machine learning techniques (regression, classification, clustering, forecasting) to solve complex business problems.
  • Conduct exploratory data analysis to identify trends, anomalies, and opportunities for process improvement.
  • Monitor, validate, and refine models to maintain accuracy and business relevance.
  • Design enterprise dashboards which display company metrics with interactive, multi-dimensional visualization enabling stakeholder decision-making.
  • Serve as a data strategist to identify and integrate new datasets that can be leveraged through our framework.
• Collaboration
  • Collaborate with cross-functional teams, including leadership, clinicians, and data professionals, to design and implement data-driven solutions.
• Communicate findings and recommendations to stakeholders to drive informed decision-making.
• Build and maintain strong working relationships with stakeholders to address evolving healthcare information needs.
• Dedicate time toward the development of working relationships with stakeholders while promoting organizational data & analytics
• Promote data literacy and a self-service approach to data, enabling stakeholders to access information they need.
• Plan, prioritize, and manage multiple projects supporting organizational objectives using project management and process improvement skills.
• Provide data support and feedback for various initiatives, including ongoing metrics and dashboards, performance improvement efforts, and business case analysis.
• Act as a key liaison between Data Science and leadership to align strategies with business goals.
• Professional growth and development
• Stay current with advancements in healthcare industry & technology, data science, cloud technology and regulatory requirements
• Seek opportunities for continuous skill and competency development.
• Explore innovative analytical and machine learning tools with the goal of improving existing processes.
• Support the planning, implementation, and monitoring of processes and systems to optimize data workflows.
• Identify ways to improve services provided to the organization (e.g., technology enhancements, improved information delivery, integration of disparate data sources, automation).
• Take advantage of opportunities to attend classes, workshops, seminars, and conferences to expand knowledge and skills in healthcare analytics.
• Contribute to Data & Analytics leadership by fostering growth and development of data scientists.
• Team Leadership
  • Lead assigned projects and team meetings while developing, mentoring and managing junior team members to ensure deliverable success and collaborative team culture of trust.
  • Assist in Data & Analytics resource capacity planning and prioritization.
  • Provide periodic report outs to Executive Leadership on Data Science initiatives and progress.
  • Develop and implement models and strategies that align with organizational goals and objectives.
  • Foster a team culture of continuous learning.
  • Assist with hiring, onboarding, and training of new team members.
  • Contribute to business unit project prioritization conversations.
• Other duties as assigned

Physical requirements: This position is classified as Light Work in the Dictionary of Occupational Titles, requiring the exertion of up to 20 pounds of force frequently, and/or a negligible amount of force constantly (66% of the time) to move objects. Physical Demand requirements are more than those for Sedentary Work.