Data Science Senior Advisor - Evernorth Health Services - Hybrid

Role Summary

As a member of the Evernorth Research Institute (ERI) Data Science (DS), DS Senior Advisor is responsible for leading and enabling artificial intelligence (AI) and machine learning (ML) within Evernorth Health Services with demonstrable aptitude in data science application to client and member solutions while leading revenue- and margin-generating opportunities.

Become a part of an exciting opportunity in healthcare and work at a leading company helping improve member experience while making medicine safer, affordable, and smarter.

This role is responsible for developing advanced solutions and embedding AI/ML in decision-making and internal decision engines.

In addition, a successful candidate is expected to provide thought leadership in various projects and think strategically about technological capabilities as they relate to existing and new data assets, cloud and on-prem compute platforms.

The candidate will champion and drive projects from inception to delivery by working with senior leaders and business partners (Finance, Pricing, Underwriting, Technology (IT), Clinical).

Key Responsibilities


* Support high-value enterprise initiatives by working with internal stakeholders and understanding business needs.

Identify new opportunities to reduce operating expenses (OP-EX) and grow revenue.


* Employ model life cycle best practices (develop, test, document, productionalize) that enable positive ROI, consistency, reproducibility, and model governance


* Develop and maintain strong collaborative relationships with technical and business matrix partners (Data Engineering Technical Product Owners, Business Product Owners, ML Center of Enablement, Financial Analysts, Price Actuaries, etc.)


* Support advanced analytical and Data Science efforts in Clinical, Pricing, Underwriting, performance and inventory forecasting, which could include but not limited to feature clustering, segmentation, logistic or multivariate regressions, decision trees, artificial neural networks, time-series analysis, hierarchical forecasting, generative IA transformer architecture


* Visualize, interpret, report, and communicate data findings creatively to non-technical and technical audiences using Tableau, ggplot, seaborn, plotly, bokeh, altair, holoviews


* Think creatively and act as a subject matter expert (SME), mentor and develop junior Data Science team members via established development programs

Qualifications


* Degree in Data Science, Applied/Health/Quant Economics, Statistics, Applied Mathematics, Compute Science, Operations Research, or related quantitative discipline (Bachelor's required, Master's or PhD's preferred)


* 5+ years of relevant experience


* Experience with time-series modeling/forecasting and deployment of highly scalable forecast hierarchies with Stats / ML / Neural / Hierarchical forecasts and using multi-step reconciliation strategies


* Strong proficiency in ML, statistics, healthc...