Data Science & Informatics Specialist 1, Medicaid Fraud Control Division, Olympia

Remote Jobs; Olympia (WA); Remote; USD 70,000 - 90,000; Full time

Job summary

A leading data science firm in Olympia, Washington, is seeking a Data Scientist to analyze Medicaid claims and identify fraud indicators. The ideal candidate holds a relevant Bachelor's degree and has experience in data science, SQL proficiency, and familiarity with medical billing terminology. Join our commitment to fostering a fair hiring environment and helping ensure data integrity in healthcare.

Qualifications

• Bachelor's degree in informatics, data science, mathematics, or related field.
• One year of experience in data science or informatics work.
• Basic knowledge of medical billing and coding systems.

Responsibilities

• Perform research on Medicaid claim and encounter data to identify fraud indicators.
• Assist in designing data queries using SQL.
• Collaborate with senior data scientists for analysis and reports.

Skills

Data analysis

SQL proficiency

Microsoft Excel

Data visualization

Education

Bachelor's degree in related field

Tools

RAT-STATS

SAS

Job description

Overview

Employer Industry: Government - Legal Services

What to Expect (Job Responsibilities)

• Perform research, querying, and analysis of complex Medicaid claim and encounter data to identify fraud indicators
• Assist in designing and executing data queries utilizing SQL and other programming languages
• Collaborate with senior data scientists to analyze and review reports and data visualizations
• Conduct qualitative and quantitative analysis to support case development
• Maintain documentation and reports in electronic format

What is Required (Qualifications)

• Bachelor\'s degree in informatics, data science, mathematics, computer science, statistics, biostatistics, epidemiology, or a related field
• One (1) year of experience performing data science or informatics work
• Basic knowledge of medical billing and coding terminology and systems (CPT, HCPCS, ICD9, ICD10)
• Proficiency in Microsoft Excel and experience with data visualization software
• Ability to pass a fingerprint-based criminal background check

How to Stand Out (Preferred Qualifications)

• Experience working in public health or healthcare
• Familiarity with RAT-STATS, SQL, and SAS
• Certification as a Certified Public Accountant (CPA), Accredited Financial Examiner (AFE), or Certified Financial Examiner (CFE)

#LegalServices #DataScience #CareerOpportunity #CompetitivePay #ProfessionalDevelopment

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