> Markdown version of [/jobs/ext/3543621-data-science-advisor-hybrid](https://www.wearedevelopers.com/jobs/ext/3543621-data-science-advisor-hybrid). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Science Advisor - Hybrid

- **Company:** Cigna
- **Location:** St. Louis, MO, United States (Remote available)
- **Salary:** $107,700.0 - $179,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Bioinformatics, Cluster Analysis, 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), Pytorch, Retrieval-Augmented Generation, Random Forest, Apache Spark, Topic Modeling, Generative AI, Agentic-AI, Spark Mllib, Scikit Learn, Information Technology, Data Pipelines, Software Library
- **Published:** October 1, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3413496649&tx=JK3529FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## 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., * 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

* 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.