Senior Staff Generative AI Scientist

atCotivitiRemoteUS flagUnited StatesFull-timeAI Research ScientistSenior$194k – $220k/year

Posted Aug 21

This is a fully remote position, open to applicants in United States.

📋 Description

• Utilize generative AI and machine learning to pinpoint payment integrity challenges, lower healthcare process expenses, and enhance healthcare results.

• Evaluate the potential value and risks associated with business challenges alongside Research and Development, Operations, and product management stakeholders.

• Create exploratory data analysis strategies to validate hypotheses for AI/ML applications.

• Document methodologies, reasoning, and outcomes using standard collaboration techniques.

• Prepare final trained models and establish validation test sets for quality assurance.

• Collaborate with production operations to implement models and assist in performance monitoring.

• Partner with other data science teams and colleagues on various projects.

• Engage in knowledge-sharing sessions.

• Take part in design discussions to enhance Cotiviti’s machine learning platform.

• Deliver comprehensive value-based solutions, including data pipelines, model development, and applications for end-user utilization.

• Fulfill annual performance review and goal-setting duties, along with any assigned special projects.

• Collaborate with healthcare professionals, analysts, clinicians, coding specialists, auditors, and innovators to create business value.


⛳️ Requirements

• PhD or advanced degree in a quantitative field such as Computer Science/Engineering, Statistics, or Operations Research, emphasizing Advanced Statistics, Machine Learning, and AI.

• Proficiency in natural language processing techniques, including transformers, fine-tuning LLMs, and measuring/benchmarking and deploying LLMs.

• Familiarity with HuggingFace, Langchain, LLAMA/Mistral, OpenAI, and vector databases.

• Over 9 years of practical experience in data science/AI.

• Experience with pandas, scikit-learn, Keras, NLTK, TensorFlow/PyTorch, and GPU.

• Proven track record in building production-grade machine learning deployments on AWS, Azure, or GCP.

• Knowledge of Apache Spark and large-scale distributed datasets.

• A publication record in journals/conferences and/or a history of innovation is advantageous.

• Ability to communicate technical concepts effectively to both technical and non-technical audiences is a plus.

• Capacity to work independently and collaboratively with a sense of urgency.

• Ability to manage confidential information appropriately.

• A value-driven approach focused on business impact.

• Competence in managing multiple tasks, prioritizing effectively, and meeting deadlines.

• Ability to navigate within a matrixed organization.

• Mastery of all necessary skills and competencies.

• Must ensure high-speed internet access/connectivity and maintain an office setup.

• Must provide a dedicated and secure workspace.

• Must be capable of performing duties with or without reasonable accommodation.


🏝️ Benefits

• Consideration for discretionary bonuses.

• Coverage for medical insurance.

• Coverage for dental insurance.

• Coverage for vision insurance.

• Coverage for disability insurance.

• Coverage for life insurance.

• Participation in 401(k) savings plans.

• Paid family leave benefits.

• Nine paid holidays each year.

• Between 17 to 27 days of Paid Time Off (PTO) annually, based on specific level and tenure.

• Options for remote work.

• Virtual interview opportunities.

• High-speed internet access/connectivity and office setup and maintenance are the responsibility of the team member (work requirement, not an employer-provided benefit).

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