Applied AI Scientist III

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🕒 May 28

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CareSource

1001 - 5000 employees

Founded 30+ years

⚕️ Healthcare Insurance

Healthcare Insurance

CareSource is a health services company focused on providing affordable health insurance and healthcare solutions. It offers a wide range of plans including Medicaid, Marketplace, and Medicare Advantage, targeting low-income adults, families, children, pregnant women, elderly adults, and people with disabilities. Additionally, CareSource provides members with resources for COVID-19 support, dental, vision, and hearing benefits, as well as pharmacy services. The company emphasizes easy access to healthcare management through online platforms and a mobile app.

📋 Description

• Responsible for the development and application of cutting-edge advanced analytics solutions using emerging AI technologies • Evaluate emerging technology in LLMs, NLP, Generative AI, and healthcare informatics • Utilize NLP algorithms and deep learning techniques to process and analyze unstructured healthcare data • Lead development from prototype through production in partnership with engineering/architecture • Develop and implement predictive models, algorithms, and statistical techniques to extract insights from large healthcare datasets • Define and execute evaluation strategies for ML and LLM solutions • Collaborate with stakeholders to define key performance indicators (KPIs), develop metrics, and create dashboards and reports

🎯 Requirements

• Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other related field required • Five (5) years of experience in predictive analytics, data science, or a related field, preferably within the healthcare industry required • Five (5) years of experience in the healthcare industry required • One (1) year of experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflake) required • One (1) year of experience in development and deployment of an NLP and Generative AI solution in the healthcare industry required • Familiarity with Agentic AI, LLM architecture, prompt engineering, RAG, and evaluation metrics • Familiarity with MLOps and LLMOps practices such as CI/CD, model registry, experiment tracking, automated evaluation, monitoring, and reproducible pipelines • Understanding of model risk management, AI governance, and responsible AI • Strong expertise in statistical modeling, machine learning techniques, and predictive analytics tools such as Python, or R • Expert in data manipulation, data visualization, and SQL for data extraction and analysis • Ability to perform advanced statistical analysis and modeling such as linear and non-linear regression, sampling, and Markov chains • Excellent analytical, problem-solving, and critical-thinking skills, with the ability to translate complex data into actionable insights • Strong project management skills, with the ability to lead and prioritize multiple projects simultaneously in a fast-paced environment

🏖️ Benefits

• Comprehensive total rewards package • Bonus tied to company and individual performance

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