Data Scientist (ROI Focus)

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I hope you are doing great!

Please find the below JD and revert me back ASAP!

Position Title

Data Scientist (ROI Focus)

Domain EXP

(Healthcare Domain)

Location

Remote - EST time zone

Duration

6 Months

Must Have

Data Science (ROI focus), Python, SQL, Epic Clarity clinical data models preferred, Google Cloud Platform, Looker Studio

Job Description
• 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.

Education, Knowledge, Skills, And Abilities Required
• Education & Technical Expertise
• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related quantitative field.
• Expertise with Python and SQL for data manipulation, statistical analysis, and AI/ML model evaluation.
• Expertise in building dashboards in tools like Tableau or Looker Studio
• Proficiency in machine learning algorithms, statistical modeling, and performance evaluation.
• Healthcare Knowledge
• Familiarity with electronic health records (EHR) systems, healthcare data structures, and relevant industry standards (e.g., HIPAA).
• Understanding of key healthcare metrics (e.g., readmission rates, hospital-acquired conditions, length of stay).
• Analytical and Problem-Solving Skills
• Proven track record of designing and tracking clear ROI metrics for AI/ML initiatives.
• Experience extracting insights from large and complex datasets.
• Ability to identify critical issues, propose data-driven solutions, and measure outcomes.
• Communication and Stakeholder Engagement
• Strong communication skills to articulate complex technical concepts to varied audiences.
• Demonstrated ability to influence and build relationships across clinical, operational, and technical teams.
• Education, Knowledge, Skills, and Abilities Preferred
• Master’s degree or PhD in Data Science, Biomedical Informatics, or related field.
• Experience with the Google Cloud Platform, git, GitHub, Docker.
• Experience building dashboards in Looker Studio.
• In-depth knowledge of Python statistical analysis tools and frameworks.
• Familiarity with the Epic Clarity data model.

Licenses And Certifications Required/Preferred
• Required: None specific to this position, although the individual must maintain compliance with HMH and regulatory standards.
• Preferred: Epic Clarity clinical data model certification; any Google Cloud Platform certifications.

Soft Skills
• Excellent organizational skills and attention to detail.
• Ability to work autonomously while fostering a collaborative team environment.
• Strong sense of ownership, accountability, and drive to innovate.
• Proactive, solutions-oriented mindset with a focus on measurable outcomes.