Find Jobs

About FinThrive
FinThrive is advancing the healthcare economy. We rethink revenue management to pave the way for a healthcare system that ensures every transaction and patient experience is addressed holistically. We're making breakthroughs in technology-developing award-winning revenue management solutions that adapt with healthcare professionals, freeing providers and payers from complexity and inefficiency, so they can focus on doing their best work. Our end-to-end revenue management platform delivers a smarter, smoother revenue experience that increases revenue, reduces costs, expands cash collections, and ensures regulatory compliance across the entire revenue cycle continuum. We've delivered over $10 billion in net revenue and cash to more than 3,245 customers worldwide. When healthcare finance becomes effortless, the boundaries of what's possible in healthcare expand. For more information on our new vision for healthcare revenue management, visit

Award-winning Culture of Customer-centricity and Reliability
At FinThrive we're proud of our agile and committed culture, which has led to certification as a "Great Place to Work" since 2017. We're honored to have been ranked #21 among the Best Workplaces in Healthcare for 2023, and we know that it's our collective dedication that makes FinThrive an exceptional place to work.

• Find balance with our remote-friendly organization


• Take time to recharge and pursue your passions


• Be part of a positive and supportive work environment


• Grow and excel your career with training and education

Our Perks and Benefits
FinThrive is committed to continually enhancing the employee experience by actively seeking new perks and benefits. For the most up-to-date offerings visit

Impact you will make

Join a group of highly talented and motivated data scientists and data engineers with significant healthcare experience to help a thriving Healthcare function. Build a highly functional and efficient Data Science & Machine Learning platform that brings together data from disparate sources and allow FinThrive to design and run complex algorithms to provide insights into the Healthcare business operations. Partner with internal business, product, and technical teams to analyze requirements to deliver solutions to complex issues. Participate in development and oversee maintenance of code to ensure consistency, quality, best practices, and performance of applications.

What you will do

• Be a key member of a growing team (data scientists, data engineers, DevOps engineers) that designs and implements predictive analytics solutions in a production environment, leveraging a variety of statistical models and machine learning algorithms


• Deploy machine learning models into production environments. Integrate machine learning algorithms with existing systems and application


• Design, build, and maintain the infrastructure for machine learning operations


• Collaborate with DevOps teams to ensure scalability, reliability, and security of ML systems


• Implement automation tools and processes for model training, testing, and deployment. Streamline and optimize the end-to-end machine learning lifecycle


• Build tools and capabilities for model management and model performance monitoring


• Collaborate effectively with the team and across cross-functional stakeholders


• Model a high-performance culture with critical thinking, problem-solving, learning, collaboration, and experimentation within the team

What you will bring

• Bachelor's degree completed in Computer Science or a related field


• 3+ years of experience with artificial intelligence, software engineering, MLOps, DevOps, or data engineering, in a professional role


• Experience with Azure DevOps, CI/CD, Terraform, Python and other scripting languages


• Experiencewith integrating DevSecOps practices and principles throughout the project life cycle


• Experience with Big Data technologies, cloud-based analytics, non-relational datastores, data visualization tools, and open-source tools for data processing


• Experience with Agile methodologies (Scrum, Kanban) and project management tools such as Jira or Azure DevOps.


• Travel required: Minimal (a couple of time a year)

What we would like to see

• Experience with Databricks and Azure cloud platform, machine learning services, and best practices


• Experience in open-source AI/ML tools, frameworks technologies (for example, TensorFlow, PyTorch, scikit-learn, Apache MXnet, Spark MLlib, etc.)


• Experience with predictive analytics in Healthcare, Insurance or Consumer Credit industry


• Experience with Databricks

Know Your Rights

• 
  Pay Type
  Salary
  
• 
  Travel Required
  Yes
  
• 
  Telecommute %
  100
  
• 
  Required Education
  Bachelor's Degree