What are the responsibilities and job description for the ROI Data Scientist position at Connvertex Technologies Inc.?
CLIENT
Kforce
END CLIENT
Hackensack Meridian Health
POSITION
ROI Data Scientist
LOCATION
All Candidates need to work EST Hours, and cannot live in : AK, CA or CO
Onsite in NJ No More then Once / Month. Some months may not come in at all.
DURATION
Contract to hire (6 months)
C2C PAY RATE
3-7 years' experience : $70-80 / hr C2C
7-15 years' experience : $ 100 / hr C2C
15 years' experience : $1 10-115 / hr C2C
INTERVIEW TYPE
Video
WORK TYPE
Hybrid Once a month
JOB TYPE
REQUIRED SKILLS
HER / Epic will be the winner here
Essential Job Functions
Define and Track ROI Metrics
Develop standardized frameworks to quantify the performance and ROI of AI / ML projects across various healthcare domains.
Establish baselines, targets, and monitoring processes to measure project impact that help guide ongoing investment decisions.
AI / ML Performance Evaluation
Construct and maintain robust performance dashboards and reports highlighting AI / ML model accuracy, precision, recall, and other project-specific metrics such as operational effectiveness, cost savings, and patient outcomes.
Analyze model performance and operational metrics to identify trends, anomalies, and areas of improvement.
Work closely with other data scientists and the software engineering team to drive the implementation of model retraining, adjustments, and fixes as needed.
Data Analysis and Dashboard and Report Development
Utilize programming languages like Python and SQL to build and maintain production-level code necessary for defining and tracking ROI and AI / ML performance metrics.
Create data exploration, cleaning, transformation scripts as necessary to support defining robust metrics applicable to each AI / ML projects across diverse healthcare data sources (e.g., EHR data, claims data, patient outcomes).
Employ statistical techniques necessary to draw conclusions about AI / ML solution effectiveness and evaluate the tangible benefits of AI / ML projects in the areas of patient care quality, cost reduction, and operational efficiency.
Cross-Functional Collaboration
Partner with clinicians, administrators, IT professionals, and executive leadership to identify pain points where AI / ML can drive high-impact solutions.
Communicate technical findings and ROI implications to both technical and non-technical stakeholders.
Collaborate with teams to integrate data science solutions into existing workflows and measure post-implementation success.
Continuous Improvement
Stay current with emerging trends in machine learning and healthcare analytics, recommending enhancements to data science and ROI tracking methodologies.
Actively contribute to the growth and development of HMH's data science team culture by sharing best practices.
Salary : $100
