HIH - Data Science Lead Analyst - Evernorth

Job Description

Role Summary As a member of the Data Science Center of Expertise (DSCOE), the DS Lead Analyst is responsible for leading and enabling Data Science within Cigna Group with demonstrable aptitude in Data Science (i) Technical Skills (ii) Leadership (iii) Scope & Impact (iv) Influence. Please see Qualifications section below for more details. The role will support the development and maintenance of proprietary advanced neural network (AI) foundation models in support of Cigna business operations. Key Responsibilities: Write code using PyTorch and/or Tensorflow to implement, test, and operationalize deep learning models Collaborate with data scientists and engineers to improve deep learning models and implement business-facing solutions built on top of those models Take responsibility for improving code performance and quality Follow developments in deep learning technology to identify opportunities to improve models Qualifications: Bachelors or Masters(preferred) in computer science or statistics or any other equivalent discipline with 5-8 years of relevant experience Strong proficiency in ML, statistics, python or R, SQL, version control (e.g., Git), health care data (e.g., claims, EHR), with emphasis on Tensorflow and Pytorch Knows and follows best coding and software engineering practices Successfully completes technical project components with limited guidance Familiarity with deploying machine learning and predictive models to production and cloud environments Leadership in Data Science Understands how assigned work is related to purpose of the overall project Independently identifies project roadblocks, and solutions Seeks to understand the health insurance domain Scope and Impact Documents the business considerations, methodology, process, code, and results associated with their work Collaborates to deliver clear and well developed presentations for both technical and business audiences Consistently communicates decisions, considerations, and needs for support Receives and responds to feedback in a professional and appropriate manner Level of Influence Present technical topics and results to non-technical stakeholders Communicate and gather domain knowledge from non-technical stakeholders