Remote Data Scientist | Pay

Description:

• Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations.
• The company addresses over $200B in claims mispayments in the healthcare industry, reducing waste and frustration for patients, providers, and payers.
• Machinify's AI platform has developed industry-specific products that significantly increase the speed and accuracy of claims processing.
• The company builds machine learning models for major health plans to identify nearly $1B in erroneous healthcare payments.
• Customers receive tens of millions of claims annually, many containing mistakes or fraud, which Machinify's models detect and stop daily.
• The company is seeking a Data Scientist for the "Pay" team to advance their claims payments product.
• The role involves building best-in-class models and creating technical frameworks and tools for greater scale and improved business outcomes.
• Responsibilities include mastering claims payment policies, building and improving models, measuring and improving model performance, interpreting large-scale data, and advancing team capabilities.

Requirements:

• Several years of experience solving real-world business problems with data and machine learning modeling is required.
• A proven ability to contribute to team efforts and develop frameworks and tools that enhance the work of others is necessary.
• Candidates must be able to create a high-level strategic work plan while maintaining attention to detail.
• Experience in precisely measuring and optimizing the business impact of work is essential.
• Applicants should have experience handling large-scale, complex data that may not be clean or well-defined.
• Proficiency in writing production-quality code, including building pipelines and deploying models, is required.
• A deep curiosity about healthcare is important for this role.

Benefits:

• Machinify is committed to hiring talented individuals with diverse backgrounds, enriching the workplace with unique qualities and cultures.
• The company promotes equal employment opportunities for all positions.
• Candidates can review the Candidate Privacy Notice for more information on data handling and privacy practices.