Data Science Advisor

Cigna

Remote Hybrid

Quick summary

Work type: Remote
Location: St. Louis, MOAustin, TXMorris Plains, NJBloomfield, CT
Salary: $107,700–$179,500 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $164k

This role $144k

$94k most similar roles pay here $239k

This role pays less than 68% of similar roles. Most pay $126,800–$200,596 — the shaded band above. At the midpoint, this role pays about $144k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About Cigna

The Cigna Group is a global health company, rebranded in 2023, that serves over 185 million customer relationships across 30+ countries.

Cigna currently has 36 open roles on FindRole.

Listed pay typically runs $131,200–$201,300 across 14 roles with salary data.

Most-posted roles

View all roles at Cigna

At a glance

TL;DR · Data Science Advisor

Role Posting Log in to save

As a Data Science Advisor at Evernorth Health Services’ Enterprise Data Science team, you will lead the design and delivery of advanced data science solutions that align with business and clinical priorities. Your day-to-day responsibilities include developing predictive models, deploying machine learning frameworks like Scikit-learn and TensorFlow, and creating scalable data pipelines using big data technologies such as Apache Spark. You will translate complex data into actionable insights for stakeholders, collaborate with cross-functional teams to deliver end-to-end analytics solutions, and present findings to senior leaders to influence strategic decisions. This role requires 5+ years of experience in data science or a related field, proficiency in Python, R, SQL, and knowledge of healthcare data systems like ICD-10. Preferred qualifications include advanced degrees in quantitative fields, experience with GenAI technologies, and data visualization skills using tools such as Tableau.

Skills

Python R SQL Scikit-learn TensorFlow PyTorch Apache Spark AWS Tableau

What you'll do

Lead the design and deployment of advanced data science solutions aligned with business and clinical priorities.
Develop predictive models using machine learning frameworks to drive measurable outcomes in healthcare.
Translate complex data insights into actionable recommendations for senior leaders and stakeholders.
Create scalable data pipelines and utilize big data technologies to support analytics initiatives.
Apply advanced analytical methods like segmentation, regression, and time-series analysis to solve business problems.

What we're looking for

5+ years of data science or advanced analytics experience.
Proficiency in Python, R, SQL, and machine learning frameworks like Scikit-learn, TensorFlow.
Experience with big data technologies (Apache Spark) and cloud platforms (AWS).
Ability to develop predictive models using regression, decision trees, neural networks.
Strong communication skills for translating complex findings to technical and non-technical audiences.

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