Data Scientist - STAR Analytics

We are seeking a highly skilled and motivated Data Scientist to join our healthcare quality analytics team. In this role, you will be responsible for leveraging data to provide actionable insights, drive decision-making, and optimize healthcare and business outcomes. The ideal candidate will have a strong background in data science, a passion for healthcare, and the ability to work in a cross-functional environment with product owners, data engineers, and business stakeholders.

KEY DUTIES AND RESPONSIBILITIES

• Participate in all project phases from concept, requirements, development, test, and production support.
• Explore and understand new big data and analytic technologies that enable faster and more efficient system operations, ultimately delivering timely insights and models
• Ensure the security, confidentiality, and integrity of client information

Data Analysis & Modeling:

• Create and refine predictive algorithms that support the suite of Star Quality product offerings as well as the overall client satisfaction initiatives for Pareto Intelligence TM. Analyze large and complex healthcare datasets (e.g., clinical, operational, and patient data) to identify trends, patterns, and insights. Develop predictive models and advanced analytics to inform healthcare strategies and program decisions.

Machine Learning & AI:

• Design, develop, and deploy machine learning algorithms and artificial intelligence solutions to improve insights, workflows, predictive diagnostics, outcomes, and operational efficiency.
• Explore and understand new big data and analytic technologies that enable faster and more efficient system operations, ultimately delivering timely insights and models

Data Integration & Cleaning:

• Work with diverse healthcare data sources, including electronic health records (EHR), claims data, clinical trial data, and sensor data, ensuring data is clean, accurate, and well-prepared for analysis.

Collaboration with Cross-Functional Teams

• Collaborate closely with healthcare professionals, product teams, engineers, and business stakeholders to define analytical goals, communicate insights, and implement data-driven solutions.
• Participate in all project phases from concept, requirements, development, test, and production support

Visualization & Reporting:

• Create clear, actionable reports and dashboards that communicate complex data findings to non-technical stakeholders, including clinicians, executives, and healthcare administrators.

Continuous Improvement:

• Stay up-to-date with the latest advancements in data science, healthcare technology, and analytics tools. Contribute to the development of new methodologies and approaches for improving Star analytic capabilities and supporting client needs through data science.

Compliance & Security:

• Ensure all data analyses and machine learning models maintain the integrity of client information and comply with healthcare regulations such as HIPAA, data privacy laws, and security best practices.

Qualifications

• Master’s degree or Ph.D. in Data Science, Computer Science, Statistics, Epidemiology, Biomedical Engineering, or a related field.
• Experience: 3+ years of experience in data science, with a focus on healthcare or life sciences (or equivalent academic/research experience). Strong experience with machine learning algorithms, statistical modeling, and data analytics tools. Familiarity with healthcare data sources and formats, including EHR/EMR systems, claims data, HEDIS data, survey-based data and prescription drug event data.
• Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience working in JupyterHub environment and experience with data manipulation libraries (e.g., Pandas, NumPy,), machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and statistical analysis tools. Knowledge of data visualization tools such as Tableau, Power BI, or custom dashboards. Familiarity with cloud computing platforms (AWS, Google Cloud, Azure) is a plus.
• Analytical & Problem-Solving Skills: Strong ability to work with design experiments and develop complex models to solve healthcare-related challenges. Experience/exposure to big data technologies such as Hadoop, Spark, Docker, and Airflow preferred.
• Communication Skills: Ability to present complex data and technical findings in a clear, concise, and actionable manner to both technical and non-technical audiences.
• Healthcare Knowledge: A solid understanding of healthcare systems, clinical workflows, and healthcare industry regulations (HIPAA, HITRUST, etc.) is a plus.

Preferred Qualifications

• Experience working with Medicare Advantage, Star Ratings, clinical decision support tools, healthcare prediction models, or patient outcome tracking systems.
• Familiarity with Natural Language Processing (NLP) and text mining techniques for processing unstructured healthcare data.
• Experience with healthcare reimbursement and claims data analysis.
• Knowledge of health economics, epidemiology, or health policy.
• Experience with Jupyter Hub & EMR Studio and Statistical software SAS, Tableau for data visualization, Microsoft SQL Server, GitHub, Jira & Confluence, Lucid Chart.

OTHER DUTIES AND RESPONSIBILITIES

• Responsible for compliance with all federal, state and local laws, rules and regulations affecting Company.
• Responsible for participating in quality assurance, compliance and in-service and continuing education activities as requested by Company.
• Responsible for performing other duties and responsibilities as required.
• Experience with Jupyter Hub & EMR Studio and Statistical software SAS, Tableau for data visualization, Microsoft SQL Server, GitHub, Jira & Confluence, Lucid Chart.

Pareto Intelligence is an Equal Opportunity Employer. We are committed to fostering a diverse and inclusive work environment, and we do not discriminate against any applicant or employee on the basis of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply and join our team.