Data Science Advisor - Hybrid

Cigna Health and Life Insurance Company; Austin, Northern (TX, KY); Hybrid; USD 108,000 - 180,000; Full time

Benefits offered by this job

Health benefits

401(k)

Life insurance

Tuition reimbursement

Paid time off

Paid holidays

Job summary

The Cigna Group is seeking a Data Science Advisor in Austin to lead enterprise analytics using AI and ML. You will collaborate with clinical, operations, technology, and business leaders to deliver impactful insights and scalable solutions, shaping how data science is used across Evernorth Health Services.

You will build predictive models, develop data pipelines, and present practical recommendations to diverse audiences while maintaining high quality and innovative standards.

Qualifications

• Relevant experience in data science, advanced analytics or related field.
• Experience with predictive modeling and various ML techniques.
• Ability to explain complex findings to non-technical audiences.

Responsibilities

• Lead design, development, and implementation of predictive and AI analytics solutions.
• Build and improve supervised and unsupervised models using diverse methods.
• Develop scalable data pipelines and analytics workflows on large healthcare datasets.
• Turn complex findings into clear insights and actionable recommendations.
• Partner with clinical, operations, technology, and business teams to deliver projects.
• Provide thought leadership on advanced analytics and responsible AI approaches.

Skills

Python

R

SQL

SAS

Data visualization

Communication

Collaboration

Education

Master's degree

PhD

Tools

scikit-learn

MLlib

TensorFlow

PyTorch

Job description

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.