CotivitiCO

Staff Generative AI Scientist

Cotiviti is a solutions and analytics company that leverages clinical and financial datasets to provide insights into the performance of the healthcare system, focusing on payment accuracy, risk adjustment, quality improvement, and consumer engagement. It also serves the retail industry with data management and recovery audit services.

Cotiviti

Employee count: 5000+

Salary: 165k-190k USD

United States only

Overview

The Staff Gen AI Scientist will apply knowledge and experience to real world problems and seek to improve health quality outcomes and reduce the cost of healthcare. With access to dedicated on premise and cloud based big data solutions, the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records and others to begin to solve some of the most pressing healthcare issues of our time. A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors and innovators to set aggressive goals and execute on them with the team. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact to business outcomes.

Please note: We are currently hiring multiple positions at various levels for our Artificial Intelligence teams. Please use the chart below as a general guide for the amount of experience required for each level, and apply to the req(s) that are most appropriate for your level of experience.

Responsibilities

As a Staff Gen AI Scientist within Cotiviti you will be responsible for delivering solutions that help our clients improve the quality of healthcare outcomes, reduce the cost of healthcare processes, and/or identify payment integrity issues. You will work as part of a team and will be individually responsible for the delivery of value associated with your projects. You will be expected to follow processes and practices that allow your models to be incorporated into our machine learning platform for production execution and monitoring, however, initial exploratory data analysis allows for more flexible experimentation to discover solutions to the business problems presented.

  • Work with key stakeholders within Research and Development as well as Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques.
  • Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases.
  • Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work.
  • Prepare your final trained model and develop a validation test set for QA.
  • Work with production operations to deploy your model into production and support them in monitoring model performance.
  • Participate in other data science teams collaborating with your peers to support their projects.
  • Participate in knowledge sharing sessions to bring new insights and technologies to the team.
  • Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.
  • Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption.
  • Complete all responsibilities as outlined in the annual performance review and/or goal setting.
  • Complete all special projects and other duties as assigned.
  • Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.

Qualifications

  • Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.
  • Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain, Llama/Mistral and OpenAI, vector databases.
  • 7+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU's.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
  • Experience working with Apache Spark™ and large-scale distributed datasets.
  • Experience communicating technical concepts to non-technical and technical audiences is a plus.
  • Passion for collaboration, learn it all mindset and driving value with AI.

Mental Requirements:

  • Ability to work independently as well as collaborate as a team with a sense of urgency.
  • Professional with ability to properly handle confidential information.
  • Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.
  • Ability to handle multiple tasks, prioritize and meet deadlines.
  • Ability to work within a matrixed organization.
  • Proficiency in all required skills and competencies above.
  • Communicating with others and teamwork.
  • Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions:

  • Flexibility to work with global teams as well geographically dispersed US based teams.
  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands and/or fingers.
  • Must be able to provide high-speed internet access / connectivity and office setup and maintenance.
  • Must be able to provide a dedicated, secure work area.

Pay Transparency:

Base compensation ranges from $165,000.00 to $190,000.00. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration.

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

Since this job will be based remotely, all interviews will be conducted virtually.

Date of posting: 4/25/2025

Applications are assessed on a rolling basis. We anticipate that the application window will close on 06/25/2025, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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About the job

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Job type

Full Time

Experience level

Senior

Salary

Salary: 165k-190k USD

Location requirements

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United States +/- 0 hours

About Cotiviti

Learn more about Cotiviti and their company culture.

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Through groundbreaking technology and profound data analytics, Cotiviti is revolutionizing the economics of healthcare. The company is at the forefront of enabling healthcare organizations to deliver enhanced care at a reduced cost, thereby ensuring the quality and sustainability of the healthcare system in the United States. Cotiviti's innovative solutions are a critical foundation for healthcare payers, empowering them in their mission to lower healthcare expenditures and elevate quality through higher-performing payment accuracy, risk adjustment, quality improvement, and consumer engagement programs. By processing and analyzing billions of clinical and financial data points, Cotiviti uncovers opportunities for clients to boost efficiency and quality, ultimately leading to better care for their members. The company's commitment to responsible AI implementation is evident in its partnership with the Responsible AI Institute, aiming to develop new ways to leverage artificial intelligence to foster a high-quality and viable healthcare system. This focus on accelerating the development of innovative healthcare technologies drives advancements in data analytics, interoperability, and value-based care solutions.

Cotiviti's expertise extends to serving the retail industry with sophisticated data management and recovery audit services designed to improve business outcomes. The company's approach is rooted in a combination of advanced technology, comprehensive data analytics, and specialized expertise. This synergy allows Cotiviti to provide solutions that address payment accuracy, quality improvement, risk adjustment, and network performance management. Cotiviti's dedication to innovation is further highlighted by its recent technological advancements, such as 360 Pattern Review, which utilizes artificial intelligence to rapidly identify potential healthcare fraud, waste, and abuse, and Zero Hour Alerts, which empowers large retailers to prevent payment errors. With a global team of over 9,000 employees, Cotiviti fosters a collaborative environment where specialized and talented teams work in tandem to ensure operational efficiency and deliver services that exceed industry standards. The company's vision is to enable a high-quality and viable healthcare system, and its mission is to improve this system through its unique blend of technology, analytics, and expertise.

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Cotiviti hiring Staff Generative AI Scientist • Remote (Work from Home) | Himalayas