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.

 

Our 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

Responsibilities

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.

 

 

Qualifications

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, SageMaker Canvas, SageMaker Studio experience a plus, GIT

 

Education and Experience:

• 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.
• Knowledge of home care industry a plus.
• Understanding of medical coding systems (ICD-10, CPT, HCPCS, DRG, etc.)

 

Physical Requirements:

• Sedentary – ability to remain in a stationary position for extended periods of time.

 

Travel Requirements:

• Monthly or quarterly travel required

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions upon request.

 

Help At Home is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or religion or other legally protected status.

Pay Range

USD $85,000.00 - USD $113,000.00 /Yr.

Bachelor's degree in data science, statistics, mathematics, computer science, engineering, economics or related field; 3+ years healthcare data analysis; 1+ year data science or machine learning; proficiency in Microsoft Office, R, Python, SPSS, SQL; knowledge of medical coding systems.

Key Responsibilities

• developing predictive models
• supporting AI initiatives
• analyzing healthcare data

Skills & Tools

Microsoft Office, PowerBI, PowerPoint, Excel, Visio, R, Python, SPSS, SQL, Snowflake, SageMaker Canvas, SageMaker Studio, GIT

Job Details

• Category: Data and Analytics
• Seniority: Mid Level
• Commitment: Full Time
• Workplace: Remote — United States
• Salary: USD 85,000 – 113,000 / year
• Languages: English

Benefits

• Generous paid time off
• Retirement plan

About Help at Home

A leading provider of high-quality home care services empowering clients to live independently. — Industry: Healthcare