Data Scientist
ABOUT Healthcare
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Minneapolis–Saint Paul, WI
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Not Applicable
Posted April 17, 2026
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Responsibilities
Commitments
Responsibilities
- Predictive Analytics Development : Build and refine machine learning models for ABOUT products including discharge forecasting, aggregate admission/discharge predictions, patient-level progress tracking, and next level of care predictions.
- Data Exploration : Analyze complex healthcare datasets to identify trends, challenges, and actionable opportunities.
- Model Deployment : Collaborate with engineers to deploy AI/ML solutions into production, ensuring reliability and scalability.
- Collaboration : Partner with product managers, operations teams, and customers to define and implement data-driven features and metrics.
- Feature Engineering : Work with AWS infrastructure (S3, Glue, Athena, Timestream, Bedrock, Nova, SageMaker) to contribute to feature pipelines and ensure data used for modeling is reliable, well-structured, and scalable.
- LLMs: Demonstrate experience and depth in building products through applying LLMs or other AI domains like NLP, ML or deep learning.
- Engineering-Aware Development: Capable of developing, testing, and operationalizing data science and LLM solutions in collaboration with engineering teams, with a strong understanding of production systems and software best practices.
- Data Readiness & DevOps Collaboration: Partner with data engineering and platform teams to ensure data availability, quality, and readiness for modeling and analytics.
- Contribute to data transformations, feature pipelines, and validation logic required to support reliable AI/ML solutions.
- Continuous Improvement : Optimize model accuracy and efficiency through testing, monitoring, and iteration.
- Documentation and Communication : Present technical findings and recommendations to stakeholders in an easily understandable way.
- Perform other duties as assigned.
Commitments
Incumbent(s) may be expected to perform job-related duties other than those contained in this document and may be required to have specific job-related knowledge and skills.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Mobility to work in an office setting, use standard office equipment and stamina to sit for extended periods of time; strength to lift and carry up to 10 pounds; vision to read printed materials and computer screens; and hearing and speech to communicate in person or over the telephone.
Travel as needed to support company and customer initiatives.
Work on Site at our St Paul office may be required and ABOUT reserves the right to change the location of the role at any time.
This role may involve work on federal government contracts that require additional federal background investigations, training, and federal badging.
As such, you may be required to submit personal information to the government and be fingerprinted and photographed at your local Department of Veteran Affairs Medical Center.
Not Met Priorities
What still needs stronger evidence
Requirements
- LLMs: Demonstrate experience and depth in building products through applying LLMs or other AI domains like NLP, ML or deep learning.
- 3-6+ years of experience developing and deploying machine learning models in production.
- Proficiency in Python (or R), SQL, and common ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience working with cloud technologies, particularly AWS (e.g., S3, Glue, Timestream, Bedrock, Nova, sageMaker).
- Strong analytical skills and ability to interpret complex datasets.
- Knowledge of ETL processes, feature engineering, and real-time forecasting methods.
- Excellent communication skills with the ability to present technical concepts to non-technical stakeholders.
- Working knowledge of software engineering and data engineering best practices (e.g., version control, testing, modular code, data pipelines), with demonstrated experience collaborating with engineering teams.
- Correct business English, including spelling, grammar and punctuation.
- Health system operating and working models
- Business planning and development
- Using initiative and independent judgment within established department guidelines.
Preferred Skills
- Master’s or PhD in Data Science, Computer Science, Statistics, or a related field
- Experience in healthcare data analytics or hospital operations.
- Familiarity with EHR/EMR data or healthcare interoperability standards.
- Knowledge of time-series modeling and ensemble methods.
- Exposure to data visualization tools (e.g., Tableau, Power BI).
- Understanding of Agile methodologies and collaborative software development.
Education
- (Not required) – Need To Have
- (Not required) – Bachelor’s in data science, Computer Science, Statistics, or related field (or equivalent experience).
- (Not required) – Master’s or PhD in Data Science, Computer Science, Statistics, or a related field
Summary
ABOUT Healthcare is seeking a skilled and innovative Data Scientist to help expand our predictive analytics capabilities and advance our mission to revolutionize hospital operations. This role will work at the intersection of AI/ML, healthcare, and operations to develop and scale machine learning models that deliver actionable insights to hospitals.
Any salary range listed for this role represents an estimated base salary only and does not include bonuses, incentives, or other forms of additional compensation.
Essential Functions
This class specification lists the major duties and requirements of the job and is not all-inclusive. Incumbent(s) may be expected to perform job-related duties other than those contained in this document and may be required to have specific job-related knowledge and skills.
Predictive Analytics Development : Build and refine machine learning models for ABOUT products including discharge forecasting, aggregate admission/discharge predictions, patient-level progress tracking, and next level of care predictions.
Data Exploration : Analyze complex healthcare datasets to identify trends, challenges, and actionable opportunities.
Model Deployment : Collaborate with engineers to deploy AI/ML solutions into production, ensuring reliability and scalability.
Collaboration : Partner with product managers, operations teams, and customers to define and implement data-driven features and metrics.
Feature Engineering : Work with AWS infrastructure (S3, Glue, Athena, Timestream, Bedrock, Nova, SageMaker) to contribute to feature pipelines and ensure data used for modeling is reliable, well-structured, and scalable.
LLMs: Demonstrate experience and depth in building products through applying LLMs or other AI domains like NLP, ML or deep learning.
Engineering-Aware Development: Capable of developing, testing, and operationalizing data science and LLM solutions in collaboration with engineering teams, with a strong understanding of production systems and software best practices.
Data Readiness & DevOps Collaboration: Partner with data engineering and platform teams to ensure data availability, quality, and readiness for modeling and analytics. Contribute to data transformations, feature pipelines, and validation logic required to support reliable AI/ML solutions.
Continuous Improvement : Optimize model accuracy and efficiency through testing, monitoring, and iteration.
Documentation and Communication : Present technical findings and recommendations to stakeholders in an easily understandable way.
Perform other duties as assigned.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Need To Have
Bachelor’s in data science, Computer Science, Statistics, or related field (or equivalent experience).
3-6+ years of experience developing and deploying machine learning models in production.
Proficiency in Python (or R), SQL, and common ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
Experience working with cloud technologies, particularly AWS (e.g., S3, Glue, Timestream, Bedrock, Nova, sageMaker).
Strong analytical skills and ability to interpret complex datasets.
Knowledge of ETL processes, feature engineering, and real-time forecasting methods.
Excellent communication skills with the ability to present technical concepts to non-technical stakeholders.
Working knowledge of software engineering and data engineering best practices (e.g., version control, testing, modular code, data pipelines), with demonstrated experience collaborating with engineering teams.
Nice To Have
Master’s or PhD in Data Science, Computer Science, Statistics, or a related field
Experience in healthcare data analytics or hospital operations.
Familiarity with EHR/EMR data or healthcare interoperability standards.
Knowledge of time-series modeling and ensemble methods.
Exposure to data visualization tools (e.g., Tableau, Power BI).
Understanding of Agile methodologies and collaborative software development.
Required Knowledge
Required Knowledge and Skills
Correct business English, including spelling, grammar and punctuation.
Medical Terminology
Health system operating and working models
Business planning and development
Required Skills
Using initiative and independent judgment within established department guidelines.
Contributing effectively to the accomplishment of team or work unit goals, objectives and activities.
Establishing and maintaining effective working relationships with a variety of individuals.
Physical/Mental Requirements
The physical demands described herein are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Mobility to work in an office setting, use standard office equipment and stamina to sit for extended periods of time; strength to lift and carry up to 10 pounds; vision to read printed materials and computer screens; and hearing and speech to communicate in person or over the telephone.
Travel as needed to support company and customer initiatives. Work on Site at our St Paul office may be required and ABOUT reserves the right to change the location of the role at any time.
This role may involve work on federal government contracts that require additional federal background investigations, training, and federal badging. As such, you may be required to submit personal information to the government and be fingerprinted and photographed at your local Department of Veteran Affairs Medical Center.
ABOUT Healthcare is also an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
ABOUT Healthcare offers AI-enabled solutions to optimize patient throughput across the acute care journey from admission, through progression to discharge, aligning care transitions with clinical needs to improve patient flow and discharge efficiency with best practice workflows and actionable insights.
ABOUT Healthcare is seeking a skilled and innovative Data Scientist to help expand our predictive analytics capabilities and advance our mission to revolutionize hospital operations. This role will work at the intersection of AI/ML, healthcare, and operations to develop and scale machine learning models that deliver actionable insights to hospitals.
Any salary range listed for this role represents an estimated base salary only and does not include bonuses, incentives, or other forms of additional compensation.
Essential Functions
This class specification lists the major duties and requirements of the job and is not all-inclusive. Incumbent(s) may be expected to perform job-related duties other than those contained in this document and may be required to have specific job-related knowledge and skills.
Predictive Analytics Development : Build and refine machine learning models for ABOUT products including discharge forecasting, aggregate admission/discharge predictions, patient-level progress tracking, and next level of care predictions.
Data Exploration : Analyze complex healthcare datasets to identify trends, challenges, and actionable opportunities.
Model Deployment : Collaborate with engineers to deploy AI/ML solutions into production, ensuring reliability and scalability.
Collaboration : Partner with product managers, operations teams, and customers to define and implement data-driven features and metrics.
Feature Engineering : Work with AWS infrastructure (S3, Glue, Athena, Timestream, Bedrock, Nova, SageMaker) to contribute to feature pipelines and ensure data used for modeling is reliable, well-structured, and scalable.
LLMs: Demonstrate experience and depth in building products through applying LLMs or other AI domains like NLP, ML or deep learning.
Engineering-Aware Development: Capable of developing, testing, and operationalizing data science and LLM solutions in collaboration with engineering teams, with a strong understanding of production systems and software best practices.
Data Readiness & DevOps Collaboration: Partner with data engineering and platform teams to ensure data availability, quality, and readiness for modeling and analytics. Contribute to data transformations, feature pipelines, and validation logic required to support reliable AI/ML solutions.
Continuous Improvement : Optimize model accuracy and efficiency through testing, monitoring, and iteration.
Documentation and Communication : Present technical findings and recommendations to stakeholders in an easily understandable way.
Perform other duties as assigned.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Need To Have
Bachelor’s in data science, Computer Science, Statistics, or related field (or equivalent experience).
3-6+ years of experience developing and deploying machine learning models in production.
Proficiency in Python (or R), SQL, and common ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
Experience working with cloud technologies, particularly AWS (e.g., S3, Glue, Timestream, Bedrock, Nova, sageMaker).
Strong analytical skills and ability to interpret complex datasets.
Knowledge of ETL processes, feature engineering, and real-time forecasting methods.
Excellent communication skills with the ability to present technical concepts to non-technical stakeholders.
Working knowledge of software engineering and data engineering best practices (e.g., version control, testing, modular code, data pipelines), with demonstrated experience collaborating with engineering teams.
Nice To Have
Master’s or PhD in Data Science, Computer Science, Statistics, or a related field
Experience in healthcare data analytics or hospital operations.
Familiarity with EHR/EMR data or healthcare interoperability standards.
Knowledge of time-series modeling and ensemble methods.
Exposure to data visualization tools (e.g., Tableau, Power BI).
Understanding of Agile methodologies and collaborative software development.
Required Knowledge
Required Knowledge and Skills
Correct business English, including spelling, grammar and punctuation.
Medical Terminology
Health system operating and working models
Business planning and development
Required Skills
Using initiative and independent judgment within established department guidelines.
Contributing effectively to the accomplishment of team or work unit goals, objectives and activities.
Establishing and maintaining effective working relationships with a variety of individuals.
Physical/Mental Requirements
The physical demands described herein are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Mobility to work in an office setting, use standard office equipment and stamina to sit for extended periods of time; strength to lift and carry up to 10 pounds; vision to read printed materials and computer screens; and hearing and speech to communicate in person or over the telephone.
Travel as needed to support company and customer initiatives. Work on Site at our St Paul office may be required and ABOUT reserves the right to change the location of the role at any time.
This role may involve work on federal government contracts that require additional federal background investigations, training, and federal badging. As such, you may be required to submit personal information to the government and be fingerprinted and photographed at your local Department of Veteran Affairs Medical Center.
ABOUT Healthcare is also an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
ABOUT Healthcare offers AI-enabled solutions to optimize patient throughput across the acute care journey from admission, through progression to discharge, aligning care transitions with clinical needs to improve patient flow and discharge efficiency with best practice workflows and actionable insights.