Humana's Growth Analytics & AI team is seeking a Data Scientist to transform complex data into advanced analytic solutions, aiming to improve healthcare experiences and outcomes for members through impactful AI solutions, specifically leveraging NLP and Generative AI.
Requirements
- Proficiency in SQL, Python, and data analysis/data mining tools
- Experience with machine learning frameworks like Scikit-Learn, TensorFlow, or PyTorch
- Experience with large language models, transformers, and model providers
- Experience in Big Data environment, specifically PySpark and/or Databricks
- Experience in cloud computing, Azure, AWS, or GCP
- Hands-on experiences deploying Generative AI solutions
Responsibilities
- Develop and validate machine learning and statistical analysis using Python, R, SQL, programming languages and packages
- Design Generative AI solutions using Python, generative models like LLMs (API and open-source models), and frameworks (i.e., LangChain, LangGraph, Google Agent Development Kit)
- Develop, maintain, and collect structured and unstructured data sets for analysis and reporting
- Experience in creating reports, projections, models, and presentations to support business
- Interpret and communicate analytic results to analytical and non-analytical business partners
- Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities, especially generative AI
Other
- Bachelor's Degree with at least 4 years of technical experience OR a Master’s Degree in Math, Computer Science, Analytics, Quantitative Social Sciences, or related analytical field and 1 year of experience
- Clear and concise oral and written communication skills
- Ability to communicate statistical concepts to broad audiences
- Occasional travel to Humana's offices for training or meetings may be required.
- This job is eligible for a bonus incentive plan.
