Data Scientist II

About the role

The Data Scientist II (DS2) is an experienced member of the Strategy & Analytics (S&A) team responsible for independently leading advanced analytics, predictive modeling, forecasting, machine learning, and operational intelligence initiatives across the Biological Sciences Division (BSD).

This role serves as a strategic analytical partner to BSD leadership, Service Delivery Units (SDUs), and enterprise stakeholders by translating complex business challenges into scalable analytical solutions that drive operational, financial, workforce, clinical, research, and strategic outcomes.

This role also contributes to the development of analytical standards, mentors junior analytics staff, and helps advance BSD’s analytics and artificial intelligence capabilities.

Responsibilities

• Independently design, develop, validate, and deploy advanced statistical models, analytics solutions, and forecasting methodologies supporting BSD strategic priorities.
• Evaluate and implement advanced analytical techniques including machine learning, optimization, simulation, and artificial intelligence methodologies where appropriate.
• Partner with the S&A data engineer and enterprise analytics teams to operationalize analytical solutions and support scalable deployment of models and reporting assets.
• Identify emerging analytical opportunities and recommend innovative approaches to solving complex business challenges.
• Serve as a subject matter expert for statistical methodologies, forecasting, and best practices.
• Lead the development of executive-level analytics, dashboards, scorecards, and strategic performance reporting.
• Provide analytical consultation to senior leaders and stakeholders regarding performance drivers, forecasting assumptions, strategic initiatives, and operational improvement opportunities.
• Translate highly complex business questions into analytical frameworks, measurable outcomes, and actionable recommendations.
• Present analytical findings, model results, and strategic recommendations to senior leadership and executive audiences.
• Influence organizational decision-making through proactive identification of risks, opportunities, and performance trends.
• Establish and promote analytical standards, model governance practices, validation methodologies, and documentation frameworks.
• Lead peer reviews and quality assurance processes for analytical outputs, models, and methodologies.
• Develop reusable analytical frameworks and best practices that improve consistency, reproducibility, and scalability across BSD analytics initiatives.
• Ensure compliance with organizational data governance, privacy, security, and regulatory requirements.
• Recommend improvements to enterprise metric definitions, data quality processes, and analytical governance standards.
• Serve as the primary analytics lead for assigned projects and stakeholder groups.
• Mentor and provide technical guidance to junior analysts and DS1 team members.
• Collaborate with leadership, finance, HR, clinical operations, research administration, enterprise analytics, and IT teams to define analytical strategies and solutions.
• Evaluate emerging analytics technologies, tools, and methodologies to enhance organizational analytical capabilities.
• Participates in the development of Business Intelligence (BI) and other analytical applications.
• Works to achieve an integrated reporting and analysis environment, effectively leveraging analytical systems and tools.
• Works with users to ensure deliverables are meeting or exceeding expectations. Provides support and communicates issues to users as defined by IT standards.
• Maintains access control and troubleshoots BI and analytic applications.

Qualifications

• Education: Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Healthcare Analytics, Business Analytics, or related STEM field strongly preferred.
• Experience: Experience working within an academic medical center, healthcare system, higher education institution, or similarly matrixed organization.
• Experience with Epic/Cogito applications including Clarity, SlicerDicer, or Reporting Workbench.
• Experience with Tableau, Power BI, Python, R, SAS, Alteryx, or cloud-based analytics environments.
• Experience supporting strategic planning, operational improvement, or performance management initiatives.
• Experience developing data visualizations and executive-facing analytical presentations.
• Experience maintaining analytical documentation, governance standards, and metric definitions.
• Experience mentoring analysts or junior data scientists.
• Experience with relational databases, enterprise reporting environments, and healthcare data structures.