Data Scientist Team Lead

3M HEALTHCARE; Town of Montana (WI); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Healthcare benefits from day one

Vision benefits

Dental benefits

Domestic partner benefits

Job summary

3M HEALTHCARE is seeking a Data Scientist Team Lead to guide a team of data scientists and analysts, focusing on mentoring, career development, and delivering high‑quality data science solutions. You will collaborate with Quality & Safety stakeholders to align strategies with business priorities, translate needs into actionable projects, and uphold robust validation and testing practices.

The role involves hands‑on development (about 50% time) and shaping data science initiatives that improve

Qualifications

• Bachelor's Degree in a relevant field (Required).
• Minimum 6 years of relevant experience (Required).
• Experience leading data science teams and projects in healthcare.

Responsibilities

• Lead and mentor a team of data scientists and analysts.
• Evaluate AI initiatives, assess impact, risk, and mitigation.
• Oversee recruitment, hiring, and onboarding.
• Translate stakeholder needs into data science projects.
• Collaborate with Quality & Safety stakeholders.
• Ensure timely delivery and governance.
• Develop and deploy ML models for healthcare applications.

Skills

Databricks

Python

SQL

Advanced statistics

Machine learning

GenAI/LLMs

Education

Bachelor's Degree

Tools

Epic Clarity

HL7

DICOM

SQL databases

Job description

Location

Work from home (Pennsylvania)

Shift & Hours

Days (United States of America) – 40 hours weekly

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 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 provides 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 adjusts 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.
• Leads code reviews and enforces 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.

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)

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

Skills

• Analyzing, processing, and building AI/ML solutions from clinical and operational data sources such as Epic Clarity, HL7, DICOM, ECG data, and clinical databases.
• Communication, critical thinking, data analysis, data presentations, group collaboration, leadership.
• Machine learning methods, programming languages, structured query language (SQL).

Benefits

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

Equal Employment Opportunity

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.