Staff Generative AI Scientist

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

📋 Description

• Provide solutions aimed at enhancing healthcare outcomes, minimizing healthcare process expenses, and/or identifying issues related to payment integrity.

• Evaluate the potential benefits and risks associated with business challenges that can be addressed through machine learning and artificial intelligence.

• Create exploratory data analysis methodologies to test hypotheses for AI/ML applications.

• Document strategies, thought processes, and results using standard collaborative methods.

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

• Implement models in production, collaborating with operations and supporting performance oversight.

• Work alongside other data science teams and assist with peer projects.

• Engage in knowledge-sharing sessions.

• Participate in design meetings to enhance the Cotiviti machine learning platform.

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

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

⛳️ Requirements

• Advanced degree in a quantitative field such as Computer Science/Engineering, Statistics, or Operations Research, with a focus on Advanced Statistics, Machine Learning, and AI.

• Proficient in natural language processing techniques including transformers, fine-tuning large language models (LLMs), and measuring/benchmarking and deploying LLMs.

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

• Over 7 years of practical experience in data science/AI.

• Skilled in pandas, scikit-learn, keras, nltk, TensorFlow/PyTorch, and GPU technologies.

• Experience in developing production-grade machine learning solutions on AWS, Azure, or GCP.

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

• Ability to communicate complex technical concepts to both technical and non-technical audiences is an asset.

• Capacity to work independently as well as collaboratively within a team.

• Competency in managing confidential information appropriately.

• A value-driven mindset with a focus on business impact.

• Capability to manage multiple tasks, prioritize effectively, and meet deadlines.

• Experience working within a matrixed organization.

• Demonstrated proficiency in required skills and competencies.

• Flexibility to collaborate with global teams and geographically dispersed teams based in the US.

• Must have high-speed internet access/connectivity along with an office setup and maintenance.

• Must be able to provide a dedicated and secure work environment.

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

🏝️ Benefits

• Consideration for discretionary bonuses.

• Comprehensive medical insurance coverage.

• Dental insurance coverage.

• Vision insurance coverage.

• Disability insurance coverage.

• Life insurance coverage.

• 401(k) saving plans.

• Paid family leave.

• 9 paid holidays annually.

• 17-27 days of Paid Time Off (PTO) each year, based on specific level and duration of service.

• Virtual interview options.

• Flexible remote work arrangement.