Data Scientist (Remote)

Availity

1d • Remote

About The Position

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. Extract, clean, and transform structured and unstructured data from multiple sources using Python and SQL. Perform exploratory data analysis (EDA) to identify trends, anomalies, and actionable insights within large datasets. Develop and maintain automated data, machine learning pipeline and ETL processes to enable scalable model training and evaluation. Research and prototype new algorithms and statistical methods to enhance product integrity and user experience. 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. Position is 100% remote.

Requirements

• 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.
• 1 year of experience with Restful APIs.
• 1 year of experience designing, developing, and maintaining end-to-end machine learning pipelines on Azure Databricks using Pyspark, scikit-learn and pandas for balanced and imbalanced datasets.
• 1 year of experience developing models with NLP techniques using Huggingface, NLTK, Sentence BERT model, transformers, and fine-tuning.
• 1 year of experience designing medical document classification model using XGBoost and neural networks.
• 1 year of experience experimenting, designing and tracking machine learning models with MLFlow and Hyperopt library.
• 1 year of experience building solutions for healthcare specific data problems, following PHI/PII and ensuring HIPPA compliance.
• 1 year of experience with continuous integration, testing, deployment, and release methodologies.

Responsibilities

• Design, develop and implement predictive, statistical, and machine learning models to support operational and product decisions.
• Extract, clean, and transform structured and unstructured data from multiple sources using Python and SQL.
• Perform exploratory data analysis (EDA) to identify trends, anomalies, and actionable insights within large datasets.
• Develop and maintain automated data, machine learning pipeline and ETL processes to enable scalable model training and evaluation.
• Research and prototype new algorithms and statistical methods to enhance product integrity and user experience.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level