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Senior Generative AI Scientist II

Cotiviti - US

United States

On-site

USD 145,000 - 170,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a Sr Data Scientist specializing in Generative AI to tackle significant healthcare challenges. This role involves collaborating with a diverse team to leverage advanced technology and data analytics, ultimately enhancing healthcare delivery while reducing costs. You'll engage in exploratory data analysis, develop machine learning models, and ensure their successful deployment. If you're a driven technologist with a passion for innovation and making a meaningful impact in healthcare, this is an exciting opportunity to contribute to transformative projects in a dynamic environment.

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Disability Insurance
Life Insurance
401(k) Savings Plan
Paid Family Leave
Paid Time Off (PTO)
Paid Holidays

Qualifications

  • 5+ years of hands-on data science/AI experience with machine learning tools.
  • Graduate degree in a quantitative discipline required.

Responsibilities

  • Deliver solutions to identify payment integrity issues in healthcare.
  • Develop exploratory data analysis for AI/Machine Learning use cases.

Skills

Natural Language Processing
Machine Learning
Data Analysis
Statistical Analysis
Collaboration
Problem Solving

Education

Graduate degree in Computer Science/Engineering
Graduate degree in Statistics
Graduate degree in Operations Research

Tools

HuggingFace
Langchain
LLAMA/Mistral
OpenAI
pandas
scikit-learn
keras
nltk
TensorFlow
PyTorch
Apache Spark
AWS
Azure
GCP

Job description

Overview

The Sr Data Scientist - Generative AI II will apply knowledge and expertise to real world problems to enable healthcare organizations to deliver better care at lower cost through advanced technology and data analytics, helping to ensure the quality and sustainability of how healthcare is delivered in the United States. 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 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 on business outcomes.

Responsibilities

As a Sr GenAI 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.

  • Work with key stakeholders within Research and Development as well as Business 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 ML Ops/Production operations to deploy your model into production and support them in monitoring model performance.
  • Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.
  • Participate in other data science initiatives, collaborating with your peers to support their projects.
  • Participate in knowledge sharing sessions to bring new insights and technologies to the team.
  • 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.

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.
  • 5+ 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.
  • 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.
  • Flexibility to work with global teams as well geographically dispersed US based teams.
  • Professional with ability to properly handle confidential information.
  • Ability to work within a matrixed organization.
  • Proficiency in all required skills and competencies above.

Mental Requirements:

  • Passion for collaboration, learn it all mindset and driving value with AI.
  • Ability to work independently as well as collaborate as a team with a sense of urgency.
  • 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.
  • Communicating with others and teamwork.

Physical Requirements and Working Conditions:

  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands and/or fingers.
  • No adverse environmental conditions expected.
  • 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 $145,000.00 to $170,000.00. 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: 2/7/2025

Applications are assessed on a rolling basis. We anticipate that the application window will close on 04/07/2025, 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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