innoVet Health (SDVOSB) ยท 2 days ago
Senior AI/ML Data Scientist with advanced analytics experience
InnoVet Health, a small and growing business that provides health IT professional services to the Department of Veterans Affairs (VA), is seeking a Senior AI/ML Data Scientist with deep expertise in advanced analytics. The role involves leading AI/ML initiatives, managing stakeholder relationships, and developing predictive models in a healthcare environment.
Health CareHospital
Responsibilities
Lead AI/ML initiatives and project teams in a customer-facing role, managing engagements and relationships with senior-level stakeholders at VA
Lead AI/ML growth through active participation in business development, strategic planning, proposal writing, and creating AI/ML demos and presentations
Collect, elaborate, and manage technical and business requirements gathered from VA stakeholders, ensuring alignment with project goals
Design, build, deploy, and maintain advanced AI/ML/NLP/LLM applications using AWS and Azure cloud platforms, incorporating best practices for model lifecycle management
Develop and optimize diagnostic and predictive models (e.g., logistic regression, random forests, decision trees) leveraging large healthcare data sets and applying statistical methodologies
Operationalize models in AWS/Azure and other analytics platforms (e.g. Databricks) by integrating them into workflows, ensuring ease of use, accuracy, scalability, and compliance with healthcare industry standards
Perform comprehensive data acquisition, profiling, cleansing, exploratory data analysis (EDA), and validation to ensure data quality and integrity
Clearly articulate and present analytical results, insights, and recommendations to diverse audiences through business proposals, written reports, white papers, and executive presentations
Management duties related to managing relationships with VA client, participating in project management review meetings, recruitment and mentoring personnel working on AI/ML projects
Qualification
Required
MS degree in data science, statistics, or computer/information science or similar area a minimum
Minimum of 7 years of hands-on advanced analytics (AI/ML) experience in the healthcare industry, with demonstrable expertise in AWS and Azure cloud environments
Proven track record in developing and implementing AI/ML/NLP/LLM models, automation solutions, and analytics pipelines
Strong programming proficiency in Python and Scala, and relevant libraries/frameworks
Expertise in data visualization tools (e.g., PowerBI, ggplot, seaborn)
Exceptional problem-solving abilities, interpersonal skills, and professional-level written and verbal communication, with the capability to produce detailed documentation and compelling presentations
Experience building impactful and persuasive demos to illustrate advanced analytics capabilities to technical and non-technical audiences
Must possess a valid Green Card or be a U.S. citizen
No consideration given to 1099, corp-to-corp, or international outsourcing and staffing agencies
Bachelor's (Required)
Azure and/or AWS: 5 years (Required)
Healthcare IT: 5 years (Required)
federal contracting: 3 years (Required)
Preferred
Prior experience in healthcare analytics, research, and consulting highly preferred
Benefits
401(k)
401(k) matching
Dental insurance
Health insurance
Paid time off
Referral program
Vision insurance