Cigna-Evernorth Services Inc. is looking to leverage advanced analytics to increase revenue and margins by developing new predictive, forecasting, and natural language processing models.
Requirements
- R
- SQL
- Python
- Pyspark
- regression
- decision trees
- support vector machines
- random forests
- neural networks
- Oracle
- Teradata
- SQL Server
- Hadoop
- Tableau
- ggplot
Responsibilities
- Utilize predictive modeling, segmentation, and machine learning methods to develop technical solutions to increase revenue and margins and provide thought leadership for advanced analytic projects and solutions.
- Work on projects from inception to delivery.
- Work with senior leaders and business partners (Technology, Clinical, Operations, etc.) to develop new predictive, forecasting, and natural language processing (“NLP”) models.
- Perform data mining by applying machine learning and supervised learning algorithms.
- Support advanced analytical and data mining efforts including clustering, segmentation, logistic and multivariate regression, decision trees, neural networks, time-series analysis, sentiment analysis, topic modeling, and Bayesian analysis.
- Visualize, interpret, report, and communicate data findings in various formats using Tableau and ggplot.
Other
- Hybrid work schedule.
- Requires a Bachelor’s degree or foreign equivalent in Data Science, Business Analytics, or a closely related field and 3 years of IT experience.
- If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
- This role is also anticipated to be eligible to participate in an annual bonus plan.
- The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible.
