Data Scientist Team Lead
New
Source API remote eligibility restrictions: Australia, Austria, Belgium, Brazil, Canada, China, Denmark, Finland, France, Germany, India, Ireland, Italy, Japan, Mexico, Netherlands, New Zealand, Norway, Singapore, South Korea, Spain, Sweden, Switzerland, United Kingdom, United StatesFull-TimeLead
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- Minimum of 6 years-Relevant experience*
- Required Skills
- PythonSQLArtificial IntelligenceMachine LearningDatabricksGenerative AI
Requirements
- Bachelor's Degree (Required)
- Minimum of 6 years-Relevant experience
- Experience with Quality & Safety Analytics
- Proficiency in Databricks
- Proficiency in Python
- Proficiency in SQL
- Advanced statistical analysis skills
- Machine learning expertise
- Experience with emerging AI technologies and implementation (LLMs, RAG, GenAI, Agentic workflow integrations and deployment)
- Ability to analyze, process and build AI/ML solutions from Clinical and Operational data sources, such as Epic Clarity, HL7, DICOM, or ECG data, Clinical Databases
- Strong communication skills
- Critical thinking skills
- Data analysis skills
- Data presentation skills
- Group collaboration ability
- Leadership skills
Responsibilities
- 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.
- Collaborates with senior leadership to define data science strategies and objectives.
- Prioritizes projects and allocates resources effectively to meet organizational goals.
- 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.
- Partners with clinicians, researchers, operational teams, and product managers to identify critical challenges, assess technical feasibility, and translate requirements into data-driven solutions.
View Full Description & ApplyYou'll be redirected to the employer's site
