Data Science Advisor leveraging AI and ML at Evernorth Health Services. Driving innovation in healthcare through advanced analytics and collaborative partnerships.
Responsibilities
Lead the development and deployment of advanced AI/ML solutions that improve member experience and business outcomes
Collaborate with internal stakeholders to identify opportunities for innovation, cost reduction, and revenue growth
Apply model lifecycle best practices to ensure consistency, reproducibility, and strong model governance
Build and maintain strong partnerships with technical and business teams, including Data Engineering, Product Owners, and ML Enablement
Drive advanced analytics in areas such as Natural Language Processing, Generative AI, and predictive modeling
Communicate data insights creatively and clearly to both technical and non-technical audiences
Act as a subject matter expert, mentoring team members and contributing to a culture of continuous learning and improvement.
Requirements
Bachelor’s degree in Data Science, Applied/Health/Quant Economics, Statistics, Applied Mathematics, Computer Science, Operations Research, or related quantitative discipline
Minimum 3 years of relevant experience (or 1+ years for PhD holders)
Proficiency in machine learning, statistics, and data science fundamentals
Experience with time-series modeling/forecasting and scalable forecast hierarchies
Strong coding skills in Python, R, SQL, and experience with cloud and on-prem computing platforms
Excellent communication and collaboration skills.
Master’s or PhD in a related field preferred
Prior experience with healthcare data (e.g., claims, EHR, disease indicators)
Experience with ML lifecycle management, documentation, and logging
Familiarity with tools such as Tableau, ggplot, seaborn, plotly, bokeh, altair, holoviews
Experience working in cross-functional teams and mentoring others.
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