Overview

The Data Scientist I - Generative AI  is focused on machine learning solutions in Healthcare Technology and builds value-oriented, production level machine learning solutions. This is not a research oriented data scientist; instead you will apply your knowledge and experience to real world problems, and seek to utilize Artificial Intelligence and Machine Learning to reduce the cost of healthcare and improve health quality and outcomes.  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.

Responsibilities

As a Data Scientist within Cotiviti you will be responsible for delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes.  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.

• Create actionable and pragmatic data science models with minimal supervision.
• Understands business needs and identifies potential use cases in more than one business unit. Works with external partners to develop a minimal viable product to meet those needs while resolving any issues that may arise.
• Consistently collaborates with fellow data scientists and frequently interacts with business partners, project managers, cross-functional teams, key stakeholders, and other domains to build analytics capabilities and drive business value.
• Continuously work to be updated on the latest developments in machine learning and the healthcare industry. Work with key stakeholders both within R&D and 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 AI techniques.
• Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential AI/ML 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

Qualifications

• Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research.
•  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.
• 2+ years of hands-on data science experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU
• 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
• Ability to work independently as well as collaborate as a team
• Flexibility to work with global teams as well geographically dispersed US based teams
• 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

Base compensation ranges from $93,000.00 to $109,000.00. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.

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: 5/16/2024

Applications are assessed on a rolling basis. We anticipate that the application window will close on 4/6/2024, 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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