Job description

Data Scientist Remote Blu Omega is seeking a Data Scientist to support a federal program focused on healthcare program integrity. This role operates within a remote environment and is responsible for analyzing Medicare and Medicaid data to detect fraud, waste, and abuse. The position requires experience supporting healthcare data analysis, reporting, and visualization in a client-facing capacity. Program Overview The program provides a secure portal with analytical tools and data access to support Medicare and Medicaid fraud detection efforts. Key Details Location: Remote Clearance: CMS Public Trust Responsibilities • Serve as a customer-facing data coach for programmers and data scientists working with One PI applications and data. • Support reports developed in SAS Enterprise Guide, Snowsight, and Databricks. • Build interactive reports, dashboards, and map visualizations in Databricks and Snowsight notebooks. • Analyze and interpret Medicare and Medicaid datasets to support healthcare reporting, compliance, and client deliverables. • Analyze complex digital data to guide business decision-making. • Participate in code reviews, documentation, and agile development processes. Required Qualifications • Master’s degree in Computer Science or related field. • 7+ years of work experience in information technology. • Proficiency in Snowflake and Databricks software. • Advanced programming skills in Python, including visualizations and predictive modeling. • Strong SQL skills for data querying, transformation, and optimization. • Experience with SAS Enterprise Guide and SAS Studio. • Hands-on experience with Medicare and Medicaid data analysis and healthcare reporting. • Excellent verbal and written communication skills in client-facing roles. • Strong problem-solving, collaboration, and presentation skills. Compensation Salary Range: $110,000 - $130,000.00 #CJ #LI-Remote

Requirements

Must-haves

Data Scientist
Program Overview
The program provides a secure portal with analytical tools and data access to support Medicare and Medicaid fraud detection efforts.
Location: Remote
Clearance: CMS Public Trust
Serve as a customer-facing data coach for programmers and data scientists working with One PI applications and data.
Support reports developed in SAS Enterprise Guide, Snowsight, and Databricks.
Build interactive reports, dashboards, and map visualizations in Databricks and Snowsight notebooks.
Analyze and interpret Medicare and Medicaid datasets to support healthcare reporting, compliance, and client deliverables.
Analyze complex digital data to guide business decision-making.
Participate in code reviews, documentation, and agile development processes.
Master’s degree in Computer Science or related field.
7+ years of work experience in information technology.
Proficiency in Snowflake and Databricks software.
Advanced programming skills in Python, including visualizations and predictive modeling.
Strong SQL skills for data querying, transformation, and optimization.
Experience with SAS Enterprise Guide and SAS Studio.
Hands-on experience with Medicare and Medicaid data analysis and healthcare reporting.
Excellent verbal and written communication skills in client-facing roles.
Strong problem-solving, collaboration, and presentation skills.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agilepythonsql

Platform: bullhorn
Effort: medium