Data Scientist

Overview

As the nation’s leading provider of high-quality home care services, we empower our clients to live independently, safely, and with dignity in their own homes. The home is more than a place – it’s the center of health, care coordination, and Meaningful Moments that transform lives.

We're looking for a curious, analytical, and technically driven Data Scientist to join our growing Analytics & Data Science team. This role will help develop predictive models, automate reporting, build data pipelines, and support AI-driven initiatives that improve operations and patient care across one of the nation’s largest home care providers.
Remote Flexibility. Weekly Pay. Exceptional Career.
Join a mission‑driven team with an annual salary range of $85,000–$113,000.

• Comprehensive medical, dental, and vision coverage
• 401(k) retirement plan
• Paid time off and holidays
• Employee assistance programs and wellness initiatives
• Flexible options to support a balanced life

What You’ll Do:

• Formulate analysis plans and selection of appropriate methods/tools for analysis.
• Support AI initiatives including large language model (LLM) applications and automation workflows.
• Work with business stakeholders, BI Analysts and Data Engineers on defining and building data sets to be analyzed.
• Provide statistical analysis of HAH’s internal data as well as data from external partners, HIEs and data aggregators (e.g., ADTs, CCDs, ORUs, claims, etc.).
• Use statistical rigor, scientific methods, data mining techniques, machine‑learning algorithms and methodologies in analyzing data.
• Apply methods for big data analysis to reveal patterns, trends, and associations in large data sets in search for usable information.
• Maintain familiarity with relevant published research and trends to align business inquiries with new and established evidence from the literature.
• Assist with population health management including statistical analysis – such as descriptive, inferential, correlations, multi‑variate regression and predictive modeling.
• Explain complex technical and statistical concepts to business audience and effectively communicate results and findings through appropriate visualizations of data.
• Build effective relationships with all cross‑functional leaders.
• Participate in senior leadership meetings and explain analysis results and limitations and present data‑driven business insights.
• Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights.
• Contribute to the development and implementation of the Enterprise Analytics team.
• This description reflects assignment of essential functions, management may assign or reassign duties and responsibilities to this job at any time that are not listed above.

What You’ll Bring:

• Strong analytical, statistical, data modeling and data management skills
• Ability to effectively navigate highly matrixed environment and establish good working relationships and communication with key business stakeholders
• Critical thinking, problem‑solving, curiosity – add value by conducting inquiring explorations to identify meaningful trends and associations that can drive clinical and business decisions
• Intermediate to Advanced in all Microsoft Office software, specifically, PowerBI, PowerPoint, Excel, and Visio
• Working knowledge of R, Python, SPSS and SQL
• Knowledge of data science, machine learning and predictive models
• Snowflake, Sage Maker Canvas, Sage Maker Studio experience a plus, GIT

• Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related field required.
• Three (3) or more years of Healthcare data analysis experience.
• One (1) or more year of experience with data science, applied statistics, predictive modeling, or machine learning projects.
• Familiarity with using AI tools, prompt engineering
• Experience in outcomes research, claims and medical cost analysis.
• Familiarity with Medicaid, Medicare and Duals space.
• Knowledge of healthcare operations and data structures and the use of information system applications…