Cigna
Data Science Advisor - Hybrid
Austin, TX · Morris Plains, NJ · Bloomfield, CT · St. Louis, MO
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- Seniority
- Mid level
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 29 Sept 2026
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the posting
As a Data Science Advisor on the Enterprise Data Science team at Evernorth Health Services, you will build advanced analytics and AI solutions that address complex healthcare challenges. You will partner with clinical, operations, technology, and business leaders to create tools that improve the member experience, support better clinical outcomes, and advance business growth. This is an opportunity to lead high-impact work from idea through delivery while helping shape how we use data science across the organization.
Responsibilities
· Lead the design, development, and implementation of predictive modeling, machine learning, generative AI, and other advanced analytics solutions aligned with user needs and business goals.
· Build and improve supervised and unsupervised models using methods such as regression, decision trees, random forests, neural networks, clustering, segmentation, time-series analysis, topic modeling, sentiment analysis, and Bayesian analysis.
· Develop scalable data pipelines and analytics workflows using large healthcare datasets and modern cloud-based tools.
· Turn complex findings into clear insights, visual stories, and practical recommendations for technical and non-technical audiences.
· Partner with clinical, operations, technology, and business teams to move projects from early discovery through successful delivery.
· Provide thought leadership on advanced analytics, emerging AI methods, and responsible approaches that improve solution quality and business value.
· Work with curiosity, sound judgment, and a growth mindset in a fast-paced environment while maintaining high standards for accuracy and quality.
Required Qualifications
· Relevant experience in data science, advanced analytics, predictive modeling, machine learning, or a related field.
· Advanced programming skills in Python, R, SQL, SAS/SAS Enterprise Guide, or a similar analytics language.
· Hands-on experience developing predictive models using methods such as regression, decision trees, support vector machines, random forests, or neural networks.
· Experience with machine learning libraries or frameworks such as scikit-learn, MLlib, TensorFlow, or PyTorch.
· Ability to explain complex findings clearly and influence decisions with technical and non-technical partners.
· Strong collaboration, critical thinking, and consulting skills, with the ability to lead complex analytical work across teams.
Preferred Qualifications
· Master's degree or PhD in statistics, applied mathematics, computer science, data science, econometrics, finance, engineering, operations research, bioinformatics, information systems, or another quantitative field.
· Experience with AWS cloud services, Apache Spark, and large-scale data pipelines.
· Knowledge of large language model technologies, including generative pretrained transformers, retrieval-augmented generation, agentic workflows, and vector databases.
· Experience with healthcare data, including claims and ICD-10, and knowledge of healthcare delivery processes.
· Experience with Tableau or another data visualization platform.
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.
For this position, we anticipate offering an annual salary of 107,700 - 179,500 USD / yearly, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. For more details on our employee benefits programs, click here .
About The Cigna Group
Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
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 need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.
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. 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.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
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