Note: The job is a remote job and is open to candidates in USA. Help at Home is the nation’s leading provider of high-quality home care services, empowering clients to live independently. They are seeking a Data Scientist to develop predictive models, automate reporting, and support AI-driven initiatives to enhance operations and patient care.
Responsibilities
- 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
Skills
- 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
- 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 in the practicing healthcare environment
- Understanding of medical coding systems (ICD-10, CPT, HCPCS, DRG, etc.)
- Snowflake, SageMaker Canvas, SageMaker Studio experience a plus
- Knowledge of home care industry a plus
Benefits
- 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
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