Data Science Lead Analyst - HIH - Evernorth

Data Science Lead Analyst

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 machine learning models, with a focus on ensuring that models meet Cigna s requirements for governance and legal compliance. The role will require collaboration with other data scientists and involve work across many lines of business.

Key Responsibilities:

• Analyze model performance of new models with specific regards to requirements for legal compliance and governance standards around accuracy and bias;
• Perform periodic analyses of performance of existing models to ensure continued compliance with internal and external standards for accuracy and bias;
• Conduct research (i. e. literature review) to understand when bias may be biologically or medically justifiable, and to what degree, for example: finding evidence from literature that heart disease is more prevalent among older populations
• Using machine learning development tools to mitigate model bias when this is determined to be necessary
• Collaborating with data scientists, business stakeholders, and governance/compliance teams to ensure models meet compliance and governance standards

Qualifications:

Data Science Technical Skills

• Bachelors or Masters/PhD (preferred) in statistics or computer science or equivalent field 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)
• 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

About Evernorth Health Services