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Junior Data Scientist - Healthcare
Integra Med Analytics, based in Austin, TX, is a team of researchers and economists who seek to use forensic data analysis to promote integrity in the healthcare system.
We are looking for strong candidates with quantitative and/or healthcare backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data.
Job Description:
Plan, develop, and take ownership in data-intensive investigations of healthcare fraud
Conduct background research to develop hypotheses of where fraud occurs
Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights
Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs
Summarize and present findings to technical and non-technical audiences
Qualifications
Required
Completion of bachelor's degree in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field
Demonstrated experience with R, Python, and/or SQL
Attention to detail
Intellectual curiosity and interest in fraud analysis
Highest ethical standards
Strong teamwork abilities
Preferred
Excellent skills in R, Python, and/or SQL
Experience working with healthcare data
Experience working in the healthcare industry
Demonstrated aptitude for research
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
PhD Research Economist
Integra FEC is hiring entrepreneurial and quantitatively skilled graduates with a background in economics and mathematics who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that works with government agencies and private entities to analyze complicated and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems.
Main responsibilities include:
Working as a data detective to examine potentially fraudulent patterns
Conducting qualitative and quantitative research to identify opportunities to detect fraud and identify fraud detection methods
Building, cleaning, compiling and analyzing datasets to find insights and fraud patterns using econometrics, statistics and other forms of analyses
Building scripts, algorithms and code to process and analyze large datasets effectively and efficiently
Presenting findings to technical and non-technical audiences
Job Qualifications:
PhD in Economics required, with Finance and Mathematics background a plus
Familiarity with Python, SQL, R, or other scripting languages
Proficiency in Microsoft Excel
Attention to detail with big-picture understanding
Ability to work well in teams
Highest ethical standards.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.