Internal Title: Data Science Lead Analyst

External Title: 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:

• 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)
• Ability to promote best coding practices, championing a culture of documentation/logging
• Thorough understanding of ML lifecycle, including necessary tradeoffs and associated risks

Leadership in Data Science

• Can own a project end-to-end e.g., scoping, business value estimation, ideation, dev, prod, timeline
• Collaborates and guides junior team members in completion of projects and career development
• Works cross functionally with technical (e.g., Data Science, Data Engineering) and business (e.g., clinical, marketing, pricing, business analysts) to implement solutions with measurable value

Scope and Impact

• Independently delivers clear and well-developed presentations for both technical and business audiences
• Creates data science specific project goals associated with project deliverables
• Articulates timeline changes, rationale, and goals to meet deadlines moving forward
• Values diversity, growth mindset, and improving health outcomes of our customers

Level of Influence

• Communicate with stakeholders to identify opportunities and possible solutions based on business need
• Draft project charter, timeline, and features/stories
• Influence matrix-partner leadership

About Evernorth Health Services