below marketmost similar roles pay hereabove market
This role pays less than
72%
of similar roles. Most pay
$126,800–$203,656
— the blue band above.
At the midpoint, this role pays about
$130k
versus about
$165k
for comparable roles.
Based on 240 similar postings.
Employer
About HCSC (Health Care Service Corporation)
HCSC (Health Care Service Corporation) is the largest customer-owned health insurer in the United States, operating Blue Cross and Blue Shield plans in Illinois, Montana, New Mexico, Oklahoma, and Texas. Industry: Health Insurance
HCSC (Health Care Service Corporation) currently has
36 open roles
on FindRole.
Listed pay typically runs
$97,350–$175,900
across 12 roles with salary data.
The Medicare Stars Senior Data Scientist joins the analytics team to provide advanced mathematical and statistical methods for the Medicare Stars program. This role involves collecting and integrating data from healthcare claims, clinical outcomes, quality measures, and provider performance to identify opportunities for improving Medicare Star Ratings. The Senior Data Scientist will perform complex statistical analysis, adapt machine learning and predictive modeling, and design experiments to validate trends. Key responsibilities include creating visualizations, developing analytical applications, and translating findings into actionable recommendations for clinical and pharmacy teams. Required skills include proficiency in relational-style query languages, machine learning, data visualization, and high-level programming languages. Candidates should possess experience with statistical software like SAS, Dataiku, R, or Python to solve healthcare delivery and quality improvement problems.
What does a Data Scientist earn in Remote?
Median $217400 from 41 postings across 18 companies.
Collect, integrate, and analyze data from healthcare claims, clinical outcomes, and provider performance.
Perform complex statistical analysis to validate and quantify trends within the Medicare Stars program.
Develop predictive algorithms using machine learning, predictive modeling, and probabilistic methods.
Design experiments and methodologies to identify opportunities for improving Medicare Star Ratings.
Create visualizations and analytical applications to represent data findings.
Translate complex analytical findings into actionable recommendations for business decisions and quality improvement.
Represent the data science perspective on cross-functional teams to drive innovative solutions.
What we're looking for
Must have a Bachelor’s degree with 3 years of experience, a Master’s with 2 years, a Ph.D., an Actuarial credential, or 7 years of experience in a quantitative field.
Must possess strong interpersonal, verbal, and written communication skills.
Must demonstrate a strong learning and growth mindset and a customer focus.
Must be proficient in at least four of the following: data analysis/query languages, machine learning/statistical modeling, data visualization, high-level programming, distributed computing, or healthcare understanding.
Must have experience with statistical software programs such as SAS, Dataiku, R, and/or Python.
Must have statistical and/or data mining experience in propensity score modeling, multivariate regression, and machine learning.
Must be located within the continental United States, excluding California, New York, Alaska, and Hawaii.
Master's or Ph.D. in a quantitative field, or a bachelor's degree with significant healthcare experience (preferred).
Python
Machine Learning
Predictive Modeling
Spark
Scala
R
TensorFlow
scikit learn
Data Visualization
Large Language Modeling
Exploratory Data Analysis
Optimization Models
WCAG) 2.2 AA
Python
SQL
Spark
Scala
R
Hadoop
Hive
Map Reduce
TensorFlow
scikit learn
NLP
Computer Vision
Gen AI
Agentic AI
Git
Data Warehouse
Statistics
Machine Learning
Deep Learning