Summary
The Data Science Lead Analyst provides advanced professional input to complex Data Science assignments/projects. Responsible for the research, extraction and analysis of data. Evaluates and writes reports. May research and analyze algorithms. Provides statistical data trends to business partners such as medical management and underwriting. May also assist in the designing and implementation of systems to analyze and report findings. Combines IT capabilities with advanced clinical knowledge to determine trends, cost/benefit ratios, and forecasting of health care costs, medical management, and health economics. Supports and provides direction to more junior professionals. Works autonomously, only requiring “expert” level technical support from others. Exercises judgment in the evaluation, selection, and adaptation of both standard and complex techniques and procedures. Utilizes in-depth professional knowledge and acumen to develop models and procedures, and monitor trends, within Data Science.
Responsibilities
Develop analytic models and products, application of methods for analysis requests in manner that demonstrates understanding of & orientation against business value
Work content will be concentrated in the disciplines of forecasting & natural language processing
Completion of ad-hoc reporting and analytics for the product management team and our clients. This requires combining business knowledge and data acumen along with technical skills (SQL, Python, and Tableau) to efficiently complete these ad-hoc requests. Query data warehouse(s) using variety of tools available
Consultation with Enterprise Stakeholders and additionally account teams, financial analysts, and in some cases, clients to help understand complex (benefit setup, trend management solutions, pricing, and utilization) issues and inquiries
Independently solve complex, analytical problems with innovative approaches and solutions
Create efficiencies and reduce errors through automation
Complete special projects as assigned
Qualifications
Experience working with Python or R, and SQL required
Understanding and experience with Natural Language Processing concepts including sentiment analysis, lexicon design, text summarization, aspect mining, topic modeling, etc.
Understanding and experience with leading supervised and unsupervised machine learning methods such as Multiple Regression, Logistic Regression, Neural Networks, Deep Learning, KNN, Naive Bayes, SVM, Decision Trees, Random Forest, Gradient Boosting, and Ensemble methods
Ability to creativity with analytical, technical, and business acumen to problem solve
Proven ability to collaborate with others, establish working relationships, and communicate effectively within a large corporate matrix environment
Self-motivation and comfort with ambiguity
Bachelor’s and Advanced degree highly preferred in Statistics, Mathematics Econometrics, Economics, Computer Science, or Data Science or equivalent work experience highly desired
For this position, we anticipate offering an annual salary of $74,600 - $124,400, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
Helping our customers achieve healthier, more secure lives is at the heart of what we do. While you take care of our customers, we’ll take care of you through a comprehensive benefits program that helps you be at your best. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and best in class well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and dozens of corporate discounts on essentials you use every day. For more details on our employee benefits programs, please visit the “Life at Cigna” tab on our careersite: www.cigna.com/careers
About Cigna
Cigna Corporation exists to improve lives. We are a global health service company dedicated to improving the health, well-being and peace of mind of those we serve. Together, with colleagues around the world, we aspire to transform health services, making them more affordable and accessible to millions. Through our unmatched expertise, bold action, fresh ideas and an unwavering commitment to patient-centered care, we are a force of health services innovation. When you work with us, or one of our subsidiaries, you’ll enjoy meaningful career experiences that enrich people’s lives. What difference will you make?
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.
Cigna has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.