Data Scientist

Memorial Hermann Health System

1d•$82,000 - $102,000

About The Position

At Memorial Hermann, we pursue a common goal of delivering high quality, efficient care while creating exceptional experiences for every member of our community. When we say every member of our community, that includes our employees. We know that when our employees feel cared for, heard and valued, they are inspired to create moments that exceed expectations, while prioritizing safety, compassion, personalization and efficiency. If you want to advance your career and contribute to our vision of creating healthier communities, now and for generations to come, we want you to be a part of our team. Job Summary Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making. Responsible for supporting cross-functional teams and providing in-depth data insights for complex business problems approached with advanced analytic techniques to collect, explore, and extract insights from structured and unstructured data. This position is an ideal first step for candidates familiar with a hospital setting to transition to a data science career. Typically reports to the Manager of Data Science. Salary Range: $82k - $102k Annually Job Description Desired Skillset: Strong proficiency in Python or R (3–4/5 level) with hands-on experience building predictive models Strong SQL skills (3–4/5 level) with ability to query and analyze large, complex datasets Experience developing custom machine learning models (not just dashboards or basic reporting) Solid foundation in statistics (hypothesis testing, A/B testing, regression modeling) Experience working with structured and unstructured data Familiarity with ETL processes and data validation best practices Ability to translate complex analytics into clear, actionable business insights Strong problem-solving and analytical reasoning skills Experience collaborating with cross-functional teams (clinical, finance, operations, IT) Healthcare analytics experience preferred; familiarity with EHR systems such as Epic Systems is a plus Exposure to NLP or generative AI/LLM technologies is a bonus Ability to manage multiple projects independently in a fast-paced environment MINIMUM QUALIFICATIONS Education: Bachelor’s Degree in science, engineering, computer science, mathematics, statistics or related STEM field required. Master’s Degree in Data Science preferred. Licenses/Certifications: (None) Experience / Knowledge / Skills: Demonstrated experience performing multiple projects (academic or professional) using a programing language like Python and libraries (numpy, sciPy, etc.) is required Professional experience in a hospital setting with medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred Familiarity with the Extract, Transform, and Load (ETL) process, working knowledge of data bases and handling large data sets Ability to communicate, gather requirements, and engage in storytelling with data Demonstrates problem solving, analytical reasoning, and decision-making skills Demonstrates ability to identify and seek needed information to perform problem/situation analysis Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions. Provides findings and analysis for use in decision making. Handles moderately complex issues and problems, and refers more complex issues to higher-level staff Exhibits strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines Understanding of SQL database management tools Demonstrates interest in learning new tools and processes Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences Ability to work under minimal supervision in a fast-paced multidisciplinary environment Effective oral and written communication skills PRINCIPAL ACCOUNTABILITIES Works collaboratively with cross-functional teams to draw insight and intelligence from large datasets and electronic medical records. Provides in-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools. Performs research, analysis, and modeling on organizational data. Develops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams. Works closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes. Assists with the evaluation of data science vendors and tools. Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service. Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff. Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Memorial Hermann’s service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues. Other duties as assigned. Together, we’re creating an environment where exceptional care can flourish. It starts with you.

Requirements

Bachelor’s Degree in science, engineering, computer science, mathematics, statistics or related STEM field required.
Demonstrated experience performing multiple projects (academic or professional) using a programing language like Python and libraries (numpy, sciPy, etc.) is required
Familiarity with the Extract, Transform, and Load (ETL) process, working knowledge of data bases and handling large data sets
Ability to communicate, gather requirements, and engage in storytelling with data
Demonstrates problem solving, analytical reasoning, and decision-making skills
Demonstrates ability to identify and seek needed information to perform problem/situation analysis
Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
Provides findings and analysis for use in decision making.
Handles moderately complex issues and problems, and refers more complex issues to higher-level staff
Exhibits strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines
Understanding of SQL database management tools
Demonstrates interest in learning new tools and processes
Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences
Ability to work under minimal supervision in a fast-paced multidisciplinary environment
Effective oral and written communication skills
Strong proficiency in Python or R (3–4/5 level) with hands-on experience building predictive models
Strong SQL skills (3–4/5 level) with ability to query and analyze large, complex datasets
Experience developing custom machine learning models (not just dashboards or basic reporting)
Solid foundation in statistics (hypothesis testing, A/B testing, regression modeling)
Experience working with structured and unstructured data
Familiarity with ETL processes and data validation best practices
Ability to translate complex analytics into clear, actionable business insights
Strong problem-solving and analytical reasoning skills
Experience collaborating with cross-functional teams (clinical, finance, operations, IT)

Nice To Haves

Master’s Degree in Data Science preferred.
Professional experience in a hospital setting with medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred
Healthcare analytics experience preferred; familiarity with EHR systems such as Epic Systems is a plus
Exposure to NLP or generative AI/LLM technologies is a bonus
Ability to manage multiple projects independently in a fast-paced environment

Responsibilities

Works collaboratively with cross-functional teams to draw insight and intelligence from large datasets and electronic medical records.
Provides in-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools.
Performs research, analysis, and modeling on organizational data.
Develops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams.
Works closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes.
Assists with the evaluation of data science vendors and tools.
Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service.
Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff.
Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences.
Models Memorial Hermann’s service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues.
Other duties as assigned.