Data Scientist Team Lead

Socket.dev; Pennsylvania; Hybrid; USD 120,000 - 170,000; Full time

Job summary

Geisinger is seeking a Data Scientist Team Lead to guide a team of data scientists and analysts, mentor careers, and align projects with clinical and operational goals.

The role focuses on leadership, program success, and resource planning, while delivering high-quality AI/ML solutions for healthcare. Remote work from Pennsylvania is supported, with office mix as needed.

Qualifications

• Bachelor's degree required.
• Minimum 6 years of relevant data science experience.
• Experience leading data science teams is required.

Responsibilities

• Leads and manages a team of data scientists and analysts.
• Oversees evaluation of AI-enabled initiatives, including impact assessment and risk analysis.
• Partners with clinicians, researchers, operational teams, and product managers to translate requirements into data-driven solutions.
• Defines data science strategies and allocates resources to meet goals.
• Ensures the delivery of high-quality analytical solutions that meet business needs.

Skills

Leadership

Mentoring

Communication

Education

Bachelor's Degree

Tools

Databricks

Python

SQL

Advanced statistics

Machine learning

GenAI technologies

Job description

Location:

Work from home (Pennsylvania)

Shift:

Days (United States of America)

Scheduled Weekly Hours:

40

Worker Type:

Regular

Exemption Status:

Yes

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 oversee successful delivery.

Job Duties:

• Leads and manages a team of data scientists and analysts, providing direction, support, and guidance.
• Lead 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.
• Monitors 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 translate 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.
• Actively participates in coding and development work (typically 50% of the time), developing and deploying robust machine learning models for diverse healthcare applications, such as risk prediction, diagnostics, treatment optimization, resource allocation and performance improvement.
• 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.

Work is typically performed in an office or remote environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.

*Relevant experience may be a combination of related work experience and degree obtained (Master's Degree = 2 years; PHD = 4 years ).

Position Details:

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):

Skills:

Analyzing, processing and building AI/ML solutions from Clinical and Operational data sources, such as Epic Clarity, HL7, DICOM, or ECG data, Clinical Databases, Communication, Critical Thinking, Data Analysis, Data Presentations, Group Collaboration, Leadership, Machine Learning Methods, Programming Languages, Structured Query Language (SQL)

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.

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality.

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.