Opmed.ai · 1 day ago
Data Scientist- Solution Architect
United States
Full-time
Remote
Mid Level
3+ years expOpmed.ai is a rapidly growing healthcare AI startup that helps health systems optimize their operations. The role of Data Scientist – Solution Architect involves owning the technical win in pre-sales by analyzing customer data, designing models, and building business cases that demonstrate the impact of Opmed.ai's solutions.
ConsultingHealth CareInformation ServicesProfessional Services
Responsibilities
Partner with sales to lead technical discovery and pre-sales projects with prospects and customers
Perform data assessments: understand available data sources, data quality, and constraints relevant to planning, scheduling, and capacity/resource management (including equipment and staff)
Translate operational workflows (OR, radiology, rehab, etc.) into models for:
Case length and volume forecasting
Planning, scheduling, and assignment (rooms, staff, equipment, blocks)
Valuation and ROI estimation for different scenarios
Build prototypes and proof-of-value analyses using real customer data in Python
Quantify impact (access, utilization, overtime, revenue, waiting time) and translate it into a clear business case
Present findings and recommendations to customer stakeholders (operational and executive) in a clear and structured way
Work closely with R&D and product on scoping, assumptions, and handover from pre-sales projects to implementation
Collaborate with the R&D team, who will perform code reviews and validate the technical quality and robustness of your work
Develop reusable playbooks, templates, and best practices for future pre-sales engagements
Represent Opmed.ai as a technical expert in customer calls, workshops, and demos
Qualification
Required
3+ years of experience in Data Science, Operations Research, Applied Analytics, or a similar quantitative role
Strong hands-on skills with: Python
Strong hands-on skills with: SQL and working with relational data
Experience with statistical modeling and/or optimization for scheduling, planning, resource allocation, or similar problems
Ability to build quick, pragmatic models and analyses that answer business questions, not just 'perfect' research models
Experience working directly with customers or stakeholders (client-facing, consulting, pre-sales, or internal business partners)
Excellent communication skills, including the ability to explain complex models and tradeoffs to non-technical audiences
Comfortable presenting to senior stakeholders (directors, VPs, C-level)
The position requires up to 25% travel based on business needs
Preferred
Experience in healthcare operations (OR, radiology, rehab, inpatient flow, clinics, etc.)
Background in optimization (constraint programming, mixed-integer programming, scheduling, routing)
Previous experience in a Solution Architect / Sales Engineer / Pre-sales Data Scientist type role
Experience in B2B SaaS, especially with enterprise customers
Experience working with US health systems and their data (EHRs, scheduling systems, etc.)
Company
Opmed.ai
Opmed.ai is an innovative provider of cutting-edge technologies and services that offers solutions for hospitals and health care providers.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$15M2024-05-06Series A· $15M
Leadership Team
Mor Brokman
Co-Founder & CEO
Recent News
Grove Ventures
2025-04-21
Med-Tech Innovation
2024-10-30
Company data provided by crunchbase