Overview
Remote
On Site
65/hr} - 70/hr}
Full Time
Skills
LOS
Collaboration
Epic
HCPCS
ICD-10
Database
Problem Solving
Conflict Resolution
Programming Languages
Python
R
SQL
Distribution
Testing
Machine Learning (ML)
Clustering
Decision Trees
Statistical Models
Statistics
Mathematics
Computer Science
Data Mining
Generalized Linear Model
Regression Analysis
Text Mining
Medical Classification
Communication
Health Care
Finance
SAP BASIS
Job Details
Contract Data Scientist
Our client, a prominent healthcare organization committed to enhancing patient care and safety, is seeking a skilled Data Scientist for a 12-month contract role. This is a fully remote position; however, candidates must reside near Pasadena, CA, for occasional onsite meetings.
Key Responsibilities:
Required Skills & Qualifications:
Preferred Experience:
Our client, a prominent healthcare organization committed to enhancing patient care and safety, is seeking a skilled Data Scientist for a 12-month contract role. This is a fully remote position; however, candidates must reside near Pasadena, CA, for occasional onsite meetings.
Key Responsibilities:
- Analyze and interpret complex data to support organizational goals in healthcare.
- Design and build data architectures and pipelines.
- Apply statistical techniques and machine learning methods to derive actionable insights.
- Collaborate across teams, communicating findings effectively to both technical and non-technical stakeholders.
- Utilize and integrate data from electronic health records (EPIC Clarity), medical claims, coding systems (CPT, HCPCS, ICD-10 PCS), and healthcare databases (e.g., CMS, DMHC, DHCAI, HCUP/AHRQ).
Required Skills & Qualifications:
- Proficiency in statistical analysis and problem-solving.
- Strong experience with statistical programming languages (e.g., Python, R, SQL).
- Expertise in advanced statistical methods (e.g., regression, distribution properties, statistical testing).
- Knowledge of machine learning techniques (e.g., clustering, decision trees, neural networks) and their practical applications.
- Proven ability to manipulate large datasets and develop statistical models.
- Master's or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
- Familiarity with data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, text mining).
- Experience with healthcare data systems, medical coding, and federal/state repositories.
- Excellent verbal and written communication skills.
- Passion for learning new technologies and methodologies.
Preferred Experience:
- Background in healthcare, behavioral health, or finance is highly desirable.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.