Data Scientist

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🕒 Yesterday

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

📊 Data Scientist

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Availity

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

⚕️ Healthcare Insurance

☁️ SaaS

🔌 API

💰 Secondary Market on 2021-07

Healthcare Insurance • SaaS • API

Availity is a leading health information network that connects payers, providers, and technology partners in the healthcare industry. By facilitating over 13 billion clinical, administrative, and financial transactions annually, Availity streamlines payer-provider collaboration and enhances patient care through an integrated provider engagement platform. The company's solutions leverage artificial intelligence and interoperability to automate processes such as prior authorizations, revenue cycle management, and payment accuracy, ultimately reducing costs and improving efficiency across the healthcare ecosystem.

📋 Description

• 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 for 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

🎯 Requirements

• Master’s degree in Data Science, Analytics, Information Systems, or a directly related field • 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 • 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, ensuring HIPPA compliance

🏖️ Benefits

• Health insurance • Drug-free workplace • Professional development opportunities