Client Summary:

• Offers a technology-supported, expert-led method to enhance documentation and coding quality.
• Designed for organizations navigating complex, performance-driven environments.
• Uses a blend of clinical and technical expertise to uncover areas for documentation improvement.
• Contributes to more accurate financial and quality outcomes, along with stronger staff engagement.
• Provides a short, low-commitment trial to demonstrate value quickly.

Position Responsibilities:

• Serve as the company-wide data science lead, managing multiple data and AI initiatives and setting the strategic direction for data science.
• Coordinate internal technology, business operators, finance, and third-party partners to launch data and AI initiatives.
• Identify opportunities to advance data science, build business cases, and measure ROI for all initiatives.
• Monitor and optimize program performance, assess predictive model ROI and subgroup performance, and iterate quickly through testing, deployment, validation, and refinement.
• Communicate program performance and impact to business, finance, and executive leadership.
• Work closely with the data architecture team to operationalize new models.
• Split responsibilities across stakeholder management, requirements gathering, program design, and hands-on programming, modeling, and data analysis.
• Lead and develop a team of data scientists, fostering a growth-oriented, inclusive culture and maintaining strong communication, collaboration, and accountability.

Experience & Skills:
Required Experience and Qualifications:

• 8+ years’ experience in a hands-on data science role.
  • Clear familiarity and comfort with fundamental data science principles (model creation, training, evaluation, ML ops, and internal communication).
  • Demonstration of previous close coordination with DBA and dev ops staff is ideal.
  • Programming experience with some variety of data science, data management, and data visualization tools; for example, R, Python, SQL, SAS, PowerBI.
  • Familiarity with data warehouses, data architecture, and data operations principles.
• Demonstrated experience in managing a data science initiative/program/function within an organization, including accountability to a program outcome, managing internal and external stakeholders (up to C-suite/executive level), and vendor management.
• Experience with Azure DevOps or similar application lifecycle management tools is an asset.
• Healthcare analytics experience is required; revenue cycle management is an asset.

Compensation $200k-$240k

Most benefits start first of month following 30 days employment. Additionally:

• 401k Match
• Flexible Time off (FTO)
• Tuition Reimbursement