Data Scientist

Alignment Health

. Collaborate with business leaders to understand business problems and develop analytical solutions .

Posted 9/18/2026full-timeRemote • United StatesJuniorMid-Level💰 $149,882 - $224,823 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive modeling, machine learning algorithms, and data science solutions, with a strong foundation in programming and data structures. Capable of collaborating across teams to develop analytical solutions that align with healthcare standards and improve clinical outcomes.

Highest-signal resume keywords

PhD In Computer SciencePredictive ModelingMachine Learning AlgorithmsProgramming Skills In PythonSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingMachine Learning AlgorithmsData StructuresStatistical AnalysisData VisualizationExperimental Analytics FrameworksEnd-To-End Data Science SolutionsDeep Neural NetworksNatural Language ProcessingHigh-Dimensional Data Analysis

Soft Skills

Excellent CommunicationAnalytical Problem-SolvingCollaborative Skills

Tools & Technologies

GitCI/CD PipelinesHadoopSparkAzureAWSNoSQL DatabasesRelational DatabasesVirtual Machine EnvironmentsData Cleaning Tools

Industry Keywords

Healthcare ExperienceCMS GuidanceCAHPS ModelingHOS ModelingCMS Stars Rating Procedures

Tech Stack

Tools & technologies

AWSAzureCloudHadoopJavaNoSQLPythonScalaSparkSQLC++

About the role

Key responsibilities & impact

Collaborate with business leaders to understand business problems and develop analytical solutions
Apply coding skills and data structures knowledge to develop projects with scientists and engineers
Build customer segmentation models to understand customers and tailor clinical outcomes and healthcare experiences
Build and fine-tune models predicting individual member behaviors
Develop scalable, automated pipelines for model outputs
Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine environments
Partner with Coding, Compliance, CDI, Clinical, and Legal teams to align data outputs with CMS guidance
Standardize definitions, documentation logic, and reporting workflows to support enterprise-wide AI readiness
Support the Stars team analytics backbone through data cleaning, aggregation, and dashboarding

Requirements

What you’ll need

Required: PhD in Computer Science, Engineering, Mathematics, Statistics, or related field
2+ years of relevant experience in predictive modeling and analysis
Excellent communication, analytical, and collaborative problem-solving skills
Experience with CAHPS and HOS modelling
Experience building end-to-end data science solutions and applying machine learning methods to real-world problems with measurable outcomes
Deep understanding and experience with machine learning algorithms, including deep neural networks, natural language processing, and LLMs
Solid data structures and algorithms background
Strong programming skills in Python, Java, R, Scala, or C++
Demonstrated proficiency in SQL and relational databases
Experience with data visualization and presentation, turning complex analysis into insight
Experience setting experimental analytics frameworks or strategies for complex scenarios
Understanding of statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets
Experience manipulating and analyzing complex, high-volume, high-dimensionality, and unstructured data from varying sources
Preferred: Healthcare experience
Preferred: Experience with Hadoop, Spark, or Cosmos
Preferred: Experience with Azure, AWS, or other cloud ecosystems
Preferred: Experience with NoSQL databases
Preferred: Published work in academic conferences or industry circles
Preferred: Knowledge of CMS Stars rating procedures