Data Scientist Team Lead

Job Summary

The Data Scientist Team Lead leads a team of data scientists and analysts focusing on managing, mentoring, and developing their careers. This role emphasizes team leadership, ensuring program success, professional development, and the strategic allocation of resources to meet organizational goals. The Data Scientist Team Lead collaborates with Quality & Safety stakeholders to align team efforts with business priorities, fosters a collaborative and innovative team environment, and ensures the delivery of high-quality data science solutions. This role provides critical feedback on translating stakeholder needs to technical specifications and oversees successful delivery.

Job Duties

• Leads and manages a team of data scientists and analysts, providing direction, support, and guidance.

• Leads evaluation of AI enabled initiatives, including impact assessment, risk analysis, and mitigation planning.

• Oversees recruitment, hiring, and onboarding of new team members.

• Conducts regular performance evaluations and provide constructive feedback.

• Develops and implements mentoring programs to support the professional growth of team members.

• Identifies training needs and opportunities for skill enhancement.

• Encourages knowledge sharing and collaboration within the team.

• Collaborates with senior leadership to define data science strategies and objectives.

• Prioritizes projects and allocates resources effectively to meet organizational goals.

• Maintains project progress and adjust plans as necessary to ensure timely delivery.

• Acts as a liaison between the data science team and other departments.

• Understands business needs and translates them into actionable data science projects.

• Communicates project updates and insights to stakeholders at various levels.

• Establishes standards and best practices for data science methodologies and workflows.

• Ensures the delivery of high-quality analytical solutions that meet business requirements.

• Promotes the adoption of robust validation and testing procedures.

• Provides technical guidance in statistics, AI/ML, and software best practices.

• Lead code reviews and enforce best practices in coding standards, model development, and deployment processes.

• Partners with clinicians, researchers, operational teams, and product managers to identify critical challenges, assess technical feasibility, and translate requirements into data-driven solutions.

• Ensures system quality, integrity, and security by adhering to relevant Geisinger AI and data health standards and governance.

Preferred Skills

• Experience with Quality & Safety Analytics
• Databricks
• Python
• SQL
• Advanced statistical analysis
• Machine learning
• Emerging AI technologies and implementation (LLMs, RAG, GenAI, Agentic workflow integrations and deployment)

Education

• Bachelor's Degree (Required)

Experience

• Minimum of 6 years - Relevant experience (Required)

Certification(s) and License(s)

• OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.
• KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
• EXCELLENCE: We treasure colleagues who humbly strive for excellence.
• LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
• INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
• SAFETY: We provide a safe environment for our patients and members and the Geisinger family

Benefits

• We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners.

Equal Opportunity Employer

• We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.