ABOUT HEALTHCARE INC
Saint Paul, Minnesota
Job DescriptionJob Description SUMMARY: The Data and Analytics Engineer is a hybrid role responsible for delivering end-to-end analytics solutions-from data transformation and modeling to business intelligence and visualization. This role combines data engineering and reporting expertise to ensure data is accurate, well-structured, and delivered through intuitive dashboards and analytics tools that drive business decisions. Partnering closely with Intelligence, Data Engineering, and platform teams, this role builds and maintains scalable data models, curated datasets, and analytical views within the data platform, while also designing and developing dashboards, reports, and self-service analytics solutions. The Data and Analytics Engineer bridges technical data systems and business needs, owning the transformation and reporting layers while contributing to, but not owning, upstream pipeline and infrastructure design. 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. Business Intelligence & Analytics Delivery: Develop and maintain high-impact dashboards and reports using Tableau or similar tools. Translate business requirements into technical solutions by defining metrics, calculations, and aggregations. Support ad hoc analysis and ensure reporting outputs are aligned with trusted data models. Translate business requirements into clear metrics, KPIs, and visualizations, ensuring alignment with organizational goals. Partner with stakeholders to define reporting needs and deliver actionable insights and analysis. Optimize report performance, usability, and adoption across business teams. Data Modeling & Transformation: Design, build, and maintain scalable data models and transformation logic using SQL and modern data tooling (e.g., dbt). Develop standardized, reusable datasets and data marts that support consistent analytics across the organization. Optimize data structures for performance, scalability, and ease of use. Data Pipeline & Quality Ownership: Partner with Data Engineering to support the design, development, and monitoring of data pipelines. Implement data validation rules, testing frameworks, and quality checks to ensure accuracy and reliability of data assets. Troubleshoot pipeline and data issues, performing root cause analysis and coordinating resolutions across systems. Data Governance & Documentation: Document data models, business logic, and field-level definitions to ensure transparency and usability. Enforce data standards, naming conventions, and governance best practices. Support compliance with applicable laws, regulations, and data security requirements. Platform Enablement & Self-Service: Enable self-service analytics by delivering curated, analytics-ready datasets and educating users on how to leverage them effectively. Support BI platform administration activities such as access management, content publishing, and performance optimization. Cross-Team Collaboration: Partner with Intelligence, Product, Engineering, and Business stakeholders to understand data needs and deliver scalable solutions. Act as a bridge between upstream data engineering and downstream analytics, ensuring alignment and consistency across the data ecosystem. Tableau Administration: Assist in managing Tableau environments, including user access, permissioning, content publishing, and basic server/site administration, as needed in collaboration with Sr Reporting & BI Developer. Source Data Analysis & QA: Analyze source systems to understand data flows, structures, and anomalies that impact modeling. Ensures the accuracy of operational databases, reports, and related details through audits, queries, and operational reviews; works with teams to resolve discrepancies Issue Resolution: Provide research, feedback to resolve management and customer questions and requirements; assists with receiving customer feedback and coordinating resources and responses as required. Troubleshoot and resolve data transformation, modeling, or pipeline issues in collaboration with broader data teams. Process Improvement: Analyze system data to provide insights, draw conclusions, and provide recommendations for improving policies, data pipelines, modeling standards, and workflows/operations. Contribute to the efficiency and effectiveness of the department's service to its customers by offering suggestions and directing or participating as an active member of a work team. Train others in related policies and procedures, as needed. Continuous Learning: Stay current on new tools, technologies, and best practices in data engineering, modeling, and analytics enablement. 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 Degree in Computer Science, Information Systems, Data Analytics, or related experience 4-6 years of experience in analytics engineering, data engineering, business intelligence, or related roles Strong experience working with large, complex datasets and cloud data platforms (e.g., Snowflake, Redshift, SQL Server) Nice to Have: Prior experience working in a private equity-funded organization Healthcare technology experience Understanding of data governance principles, including naming conventions and lineage Experience working with Git or version control in a collaborative environment Knowledge of cloud ecosystems (e.g., AWS, Azure, GCP) Master's degree in Information Technology or related field Required Knowledge and Skills Required Knowledge: Advanced principles of data modeling (dimensional and normalized) and semantic layer design Understanding of ETL/ELT processes and modern data pipeline architectures Data governance concepts including lineage, naming conventions, and data standards Principles of data quality, validation, and testing methodologies Understanding of business intelligence platforms and analytics ecosystems Knowledge of applicable laws, codes, regulations, and data governance requirements (e.g., HIPAA) Required Skills: Advanced proficiency in SQL for data transformation and analysis Experience with data transformation tools (e.g., dbt, stored procedures, SQL scripts) Ability to design, build, and optimize scalable data models Ability to perform advanced data engineering tasks across ingestion, transformation, and delivery layers Strong data quality practices with attention to detail and commitment to accuracy Ability to document data models, field logic, and lineage in a clear, business-friendly format Experience developing, consulting on, and optimizing dashboard and report packages (Tableau, Power BI, or similar) Experience overseeing and supporting business intelligence and data analytical systems (e.g., semantic layer, BI platforms, access/permissions, content lifecycle) Proficiency using standard, customized, and complex data analytics tools and techniques Strong analytical, problem-solving, and communication skills; ability to translate complex data into actionable insights Ability to interpret, apply, and explain applicable laws, codes, and regulations in practical scenarios 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.
Job DescriptionJob Description SUMMARY: The Data and Analytics Engineer is a hybrid role responsible for delivering end-to-end analytics solutions-from data transformation and modeling to business intelligence and visualization. This role combines data engineering and reporting expertise to ensure data is accurate, well-structured, and delivered through intuitive dashboards and analytics tools that drive business decisions. Partnering closely with Intelligence, Data Engineering, and platform teams, this role builds and maintains scalable data models, curated datasets, and analytical views within the data platform, while also designing and developing dashboards, reports, and self-service analytics solutions. The Data and Analytics Engineer bridges technical data systems and business needs, owning the transformation and reporting layers while contributing to, but not owning, upstream pipeline and infrastructure design. 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. Business Intelligence & Analytics Delivery: Develop and maintain high-impact dashboards and reports using Tableau or similar tools. Translate business requirements into technical solutions by defining metrics, calculations, and aggregations. Support ad hoc analysis and ensure reporting outputs are aligned with trusted data models. Translate business requirements into clear metrics, KPIs, and visualizations, ensuring alignment with organizational goals. Partner with stakeholders to define reporting needs and deliver actionable insights and analysis. Optimize report performance, usability, and adoption across business teams. Data Modeling & Transformation: Design, build, and maintain scalable data models and transformation logic using SQL and modern data tooling (e.g., dbt). Develop standardized, reusable datasets and data marts that support consistent analytics across the organization. Optimize data structures for performance, scalability, and ease of use. Data Pipeline & Quality Ownership: Partner with Data Engineering to support the design, development, and monitoring of data pipelines. Implement data validation rules, testing frameworks, and quality checks to ensure accuracy and reliability of data assets. Troubleshoot pipeline and data issues, performing root cause analysis and coordinating resolutions across systems. Data Governance & Documentation: Document data models, business logic, and field-level definitions to ensure transparency and usability. Enforce data standards, naming conventions, and governance best practices. Support compliance with applicable laws, regulations, and data security requirements. Platform Enablement & Self-Service: Enable self-service analytics by delivering curated, analytics-ready datasets and educating users on how to leverage them effectively. Support BI platform administration activities such as access management, content publishing, and performance optimization. Cross-Team Collaboration: Partner with Intelligence, Product, Engineering, and Business stakeholders to understand data needs and deliver scalable solutions. Act as a bridge between upstream data engineering and downstream analytics, ensuring alignment and consistency across the data ecosystem. Tableau Administration: Assist in managing Tableau environments, including user access, permissioning, content publishing, and basic server/site administration, as needed in collaboration with Sr Reporting & BI Developer. Source Data Analysis & QA: Analyze source systems to understand data flows, structures, and anomalies that impact modeling. Ensures the accuracy of operational databases, reports, and related details through audits, queries, and operational reviews; works with teams to resolve discrepancies Issue Resolution: Provide research, feedback to resolve management and customer questions and requirements; assists with receiving customer feedback and coordinating resources and responses as required. Troubleshoot and resolve data transformation, modeling, or pipeline issues in collaboration with broader data teams. Process Improvement: Analyze system data to provide insights, draw conclusions, and provide recommendations for improving policies, data pipelines, modeling standards, and workflows/operations. Contribute to the efficiency and effectiveness of the department's service to its customers by offering suggestions and directing or participating as an active member of a work team. Train others in related policies and procedures, as needed. Continuous Learning: Stay current on new tools, technologies, and best practices in data engineering, modeling, and analytics enablement. 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 Degree in Computer Science, Information Systems, Data Analytics, or related experience 4-6 years of experience in analytics engineering, data engineering, business intelligence, or related roles Strong experience working with large, complex datasets and cloud data platforms (e.g., Snowflake, Redshift, SQL Server) Nice to Have: Prior experience working in a private equity-funded organization Healthcare technology experience Understanding of data governance principles, including naming conventions and lineage Experience working with Git or version control in a collaborative environment Knowledge of cloud ecosystems (e.g., AWS, Azure, GCP) Master's degree in Information Technology or related field Required Knowledge and Skills Required Knowledge: Advanced principles of data modeling (dimensional and normalized) and semantic layer design Understanding of ETL/ELT processes and modern data pipeline architectures Data governance concepts including lineage, naming conventions, and data standards Principles of data quality, validation, and testing methodologies Understanding of business intelligence platforms and analytics ecosystems Knowledge of applicable laws, codes, regulations, and data governance requirements (e.g., HIPAA) Required Skills: Advanced proficiency in SQL for data transformation and analysis Experience with data transformation tools (e.g., dbt, stored procedures, SQL scripts) Ability to design, build, and optimize scalable data models Ability to perform advanced data engineering tasks across ingestion, transformation, and delivery layers Strong data quality practices with attention to detail and commitment to accuracy Ability to document data models, field logic, and lineage in a clear, business-friendly format Experience developing, consulting on, and optimizing dashboard and report packages (Tableau, Power BI, or similar) Experience overseeing and supporting business intelligence and data analytical systems (e.g., semantic layer, BI platforms, access/permissions, content lifecycle) Proficiency using standard, customized, and complex data analytics tools and techniques Strong analytical, problem-solving, and communication skills; ability to translate complex data into actionable insights Ability to interpret, apply, and explain applicable laws, codes, and regulations in practical scenarios 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 INC
Saint Paul, Minnesota
Job DescriptionJob Description SUMMARY: As a Product Manager at ABOUT Healthcare, you will be responsible for overseeing the development and product lifecycle plan of our healthcare software products. Working with Product leadership and internal and external stakeholders, you will support the development and oversee execution of ABOUT's suite of solutions which support and enable patient transitions in their healthcare journey. In this role, you will develop and execute product strategies that align with ABOUT's vision and market needs by overseeing a team of Product Owners and partner engineering teams. You will lead the product development process from ideation to launch, ensuring timely delivery and high-quality standards. The Product Manager will source market knowledge and monitor industry trends to create and maintain a product roadmap that outlines planned features and enhancements. 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. Product Strategy and Vision: Support the Director of Product in defining the full product vision, strategy, and long-term roadmap in alignment with business objectives, user needs, and industry trends. Continuously evaluate the healthcare market to identify opportunities for innovation and differentiation. Support facilitation of product governance to ensure alignment to ABOUT's strategic goals and business requirements. Product Lifecycle Management: Clearly articulate products and features and lead Product Owners and development teams in driving the full product portfolio and lifecycle, from ideation and design to development, testing, launch, and continuous improvement. Create and maintain product development plans that communicate feature prioritization based on customer needs and business objectives. Ensure the product aligns with regulatory requirements and complies with relevant healthcare industry standards (e.g., HIPAA, FDA, HITRUST, etc.). Identify and mitigate risks associated with product development and launch. Cross-Functional Collaboration: Collaborate with engineering, sales, marketing, client success, clinical and implementation teams to ensure seamless product development and launch. Act as the bridge between technical leaders and non-technical stakeholders, translating market and customer needs into actionable product features. Market and Industry Knowledge: Stay current with the evolving healthcare landscape, including regulations, technologies, and market trends. Understand the competitive landscape and ensure the product remains positioned as a leader in the healthcare software market. Stakeholder Communication: Communicate product updates, vision, and strategy to internal and external stakeholders, including executive leadership, cross-functional teams, customers, and partners. 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 degree in relevant Computer Science, Healthcare, Business or equivalent. Prefer a Master's (or comparable advanced) degree in Computer Science, Business, Healthcare Administration or related field. Minimum of 7 years of prior product management or development work experience with a significant portion spent in healthcare technology or software. Proficiency in using product management tools (e.g., Azure DevOps, Jira, Trello, Aha, etc.). Strong technical acumen to understand and communicate product strategy, vision, and requirements. Nice to Have: Prior experience working in a private equity-funded, emerging growth organization. Experience working with healthcare providers, payers, or patients is highly preferred. Familiarity with agile methodologies and software development processes is a plus. Required Knowledge and Skills Demonstrated sense of curiosity and the courage to ask insightful and tough questions. Experience in various aspects of healthcare, such as hospital administration, health plan operations, outpatient services, ambulatory care, value-based reimbursement Experience influencing both indirectly and directly across multiple teams and stakeholders Must possess political savvy, ability to function effectively in the face of ambiguity and excellent relationship-building skills Superior leadership, organizational, analytical, oral and written communication, presentation, interpersonal skill to facilitate effective relationships inside and outside of ABOUT Exceptional project management capabilities, with a track record of successfully delivering projects on time Organized and self-motivated, with the ability to work independently and take initiative Analytical mindset, with the ability to leverage data and insights to drive decision-making and optimize partnership performance Ability to thrive in a fast-paced, dynamic startup environment Proven ability to work collaboratively in a cross-functional environment Versatile abilities and extreme dedication to efficient productivity Strategic thinker, enterprise mind set Strong interpersonal skills 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.
Job DescriptionJob Description SUMMARY: As a Product Manager at ABOUT Healthcare, you will be responsible for overseeing the development and product lifecycle plan of our healthcare software products. Working with Product leadership and internal and external stakeholders, you will support the development and oversee execution of ABOUT's suite of solutions which support and enable patient transitions in their healthcare journey. In this role, you will develop and execute product strategies that align with ABOUT's vision and market needs by overseeing a team of Product Owners and partner engineering teams. You will lead the product development process from ideation to launch, ensuring timely delivery and high-quality standards. The Product Manager will source market knowledge and monitor industry trends to create and maintain a product roadmap that outlines planned features and enhancements. 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. Product Strategy and Vision: Support the Director of Product in defining the full product vision, strategy, and long-term roadmap in alignment with business objectives, user needs, and industry trends. Continuously evaluate the healthcare market to identify opportunities for innovation and differentiation. Support facilitation of product governance to ensure alignment to ABOUT's strategic goals and business requirements. Product Lifecycle Management: Clearly articulate products and features and lead Product Owners and development teams in driving the full product portfolio and lifecycle, from ideation and design to development, testing, launch, and continuous improvement. Create and maintain product development plans that communicate feature prioritization based on customer needs and business objectives. Ensure the product aligns with regulatory requirements and complies with relevant healthcare industry standards (e.g., HIPAA, FDA, HITRUST, etc.). Identify and mitigate risks associated with product development and launch. Cross-Functional Collaboration: Collaborate with engineering, sales, marketing, client success, clinical and implementation teams to ensure seamless product development and launch. Act as the bridge between technical leaders and non-technical stakeholders, translating market and customer needs into actionable product features. Market and Industry Knowledge: Stay current with the evolving healthcare landscape, including regulations, technologies, and market trends. Understand the competitive landscape and ensure the product remains positioned as a leader in the healthcare software market. Stakeholder Communication: Communicate product updates, vision, and strategy to internal and external stakeholders, including executive leadership, cross-functional teams, customers, and partners. 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 degree in relevant Computer Science, Healthcare, Business or equivalent. Prefer a Master's (or comparable advanced) degree in Computer Science, Business, Healthcare Administration or related field. Minimum of 7 years of prior product management or development work experience with a significant portion spent in healthcare technology or software. Proficiency in using product management tools (e.g., Azure DevOps, Jira, Trello, Aha, etc.). Strong technical acumen to understand and communicate product strategy, vision, and requirements. Nice to Have: Prior experience working in a private equity-funded, emerging growth organization. Experience working with healthcare providers, payers, or patients is highly preferred. Familiarity with agile methodologies and software development processes is a plus. Required Knowledge and Skills Demonstrated sense of curiosity and the courage to ask insightful and tough questions. Experience in various aspects of healthcare, such as hospital administration, health plan operations, outpatient services, ambulatory care, value-based reimbursement Experience influencing both indirectly and directly across multiple teams and stakeholders Must possess political savvy, ability to function effectively in the face of ambiguity and excellent relationship-building skills Superior leadership, organizational, analytical, oral and written communication, presentation, interpersonal skill to facilitate effective relationships inside and outside of ABOUT Exceptional project management capabilities, with a track record of successfully delivering projects on time Organized and self-motivated, with the ability to work independently and take initiative Analytical mindset, with the ability to leverage data and insights to drive decision-making and optimize partnership performance Ability to thrive in a fast-paced, dynamic startup environment Proven ability to work collaboratively in a cross-functional environment Versatile abilities and extreme dedication to efficient productivity Strategic thinker, enterprise mind set Strong interpersonal skills 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 INC
Saint Paul, Minnesota
Job DescriptionJob Description 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 and Skills Required Knowledge: 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.
Job DescriptionJob Description 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 and Skills Required Knowledge: 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.