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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Advisor - Hybrid - **Company:** Cigna - **Location:** Austin, TX, United States (Remote available) - **Salary:** $107,700.0 - $179,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Bioinformatics, Information Systems, Data Visualization, R (Programming Language), Internet Service Provider, Python (Programming Language), Machine Learning, Cloud Services, Tensorflow, SAS (Software), Sentiment Analysis, SQL Databases, Support Vector Machine, Tableau (Software), Enterprise Data Management, Pytorch, Retrieval-Augmented Generation, Apache Spark, Topic Modeling, Generative AI, Scikit Learn, Information Technology, Data Pipelines, Software Library - **Published:** September 29, 2026 - **Apply:** https://dejobs.org/x/x/3EA27921206A4F1F9A12CC3E48C24D29/job/ ## About the Role · 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. ## 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. ## Related Videos - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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