Data Science Advisor

The Cigna Group

. Lead the design and delivery of advanced data science solutions aligned with business and clinical priorities .

Posted 10/9/2026full-timeRemote • United StatesJuniorMid-Level💰 $107,700 - $179,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying predictive models and machine learning solutions, with a strong foundation in Python, R, and SQL. Capable of translating complex data into actionable insights while collaborating effectively with cross-functional teams in the healthcare domain.

Highest-signal resume keywords

Predictive ModelingMachine Learning SolutionsData Science Best PracticesPython ProgrammingHealthcare Data Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceAdvanced AnalyticsPredictive ModelsSegmentation AnalysisRegression AnalysisTime-Series AnalysisDecision TreesNeural NetworksScikit-learnTensorFlow

Soft Skills

CollaborationProblem-SolvingCritical ThinkingCommunication

Tools & Technologies

SQLApache SparkAWSTableauGenAILLM TechnologiesGPTRAGVector Databases

Certifications & Qualifications

Master’s in Data SciencePhD in Quantitative Field

Industry Keywords

Healthcare DataICD-10Claims DataEnd-to-End Analytics Solutions

Tech Stack

Tools & technologies

ApacheAWSCloudPythonPyTorchScikit-LearnSparkSQLTableauTensorflow

About the role

Key responsibilities & impact

Lead the design and delivery of advanced data science solutions aligned with business and clinical priorities
Develop and deploy predictive models, machine learning solutions, and AI capabilities
Translate complex data into insights and recommendations for business and technical stakeholders
Partner with IT, Clinical, and Operations teams to deliver end-to-end analytics solutions
Apply segmentation, regression, and time-series analysis to solve business problems
Create scalable data pipelines and leverage big data technologies
Present findings to senior leaders to influence strategy and decision-making
Provide thought leadership and mentor others on data science best practices and emerging technologies

Requirements

What you’ll need

2+ years of experience in data science, advanced analytics, or a related field
Strong programming skills in Python, R, SQL, or similar tools
Hands-on experience with Scikit-learn, TensorFlow, or PyTorch
Experience developing predictive models using regression, decision trees, or neural networks
Exposure to Apache Spark and cloud platforms such as AWS
Knowledge of healthcare data and systems, such as claims data and ICD-10
Ability to communicate complex findings to technical and non-technical audiences
Strong collaboration, problem-solving, and critical thinking skills
Home internet connection, if working at home, through cable broadband or fiber optic service with at least 10Mbps download/5Mbps upload
Master’s or PhD in a quantitative field such as Data Science, Statistics, or Computer Science (preferred)
Experience with GenAI and LLM technologies such as GPT, RAG, or vector databases (preferred)
Experience with Tableau (preferred)

Benefits

Comp & perks

Medical, vision, and dental benefits starting on day one
Well-being and behavioral health programs starting on day one
401(k)
Company-paid life insurance
Tuition reimbursement
Minimum of 18 days of paid time off per year
Paid holidays
Leaves of absence
Annual bonus plan eligibility