Availity, LLC
Data Scientist (Remote)
Remote - United States
Sponsorship not specifiedDetected 5 days ago
PythonAlgorithmsDatabricksAzureCI/CDRESTMachine Learningscikit-learnPandasData AnalysisData EngineeringData ScienceNLPEmployment LawHIPAAResearchCommunication
About the role
- Extract, clean, and transform structured and unstructured data from multiple sources using Python and SQL.
- Research and prototype new algorithms and statistical methods to enhance product integrity and user experience.
- This notice is subject to Availity LLC's employee referral program.
Responsibilities
- Perform exploratory data analysis (EDA) to identify trends, anomalies, and actionable insights within large datasets.
- Develop automated processes using NLP techniques to uncover hidden insights from text data.
- Collaborate with engineering, product and clinical team to define data requirements and integrity.
- Document modeling approaches, data mining techniques, and results for internal review.
Requirements
- Contact Emily Carlson at Emily.Carlson@availity.com if you have questions or need information about this application.
- Candidates are required to pass a drug test before beginning employment.
- When required by state law or federal regulation, Availity uses I-9, Employment Eligibility Verification in conjunction with E-Verify to determine employment eligibility.
Nice to have
- Master's degree in Data Science, Analytics, Information Systems, or a directly related field, plus 1 year of experience as a data scientist or related occupation.
- Must have 1 year of experience with each of the following: (1) Restful APIs
Benefits
- Availity delivers revenue cycle and related business solutions for health care professionals who want to build healthy, thriving organizations.
- Availity has the powerful tools, actionable insights and expansive network reach that medical businesses need to get an edge in an industry constantly redefined by change.
- The Data Scientist Availity LLC in Jacksonville, FL will design, develop and implement predictive, statistical, and machine learning models to support operational and product decisions.
- Develop and maintain automated data, machine learning pipeline and ETL processes to enable scalable model training and evaluation.
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