Sr. Data Scientist

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 Leads complex projects to mine and analyze complex and unstructured data sets using advanced statistical methods for use in data driven decision making. Responsible for leading complex cross-functional teams and providing in-depth data insights for complex business problems that can be approached with advanced analytic techniques to collect, explore, and extract insights from structured and unstructured data. Leads engagement with the customer for complex data science efforts and projects. Typically reports to the Manager of Data Science.Job Description 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: • Four (4) years of experience in data science is required • 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 • Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required • Demonstrated knowledge of the Extract, Transform, and Load (ETL) process, SQL data bases, and handling large data sets • Demonstrates knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks • Knowledgeable of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications • Ability to communicate, gather requirements and execute storytelling with data • Possesses working knowledge of the data science project life cycle • Advanced level programming skills in addition to a working knowledge and experience of statistical analysis tools • Demonstrates advanced problem solving, analytical reasoning and decision-making skills • Demonstrates ability to identify and seek needed information to perform problem/situation analysis • Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources • 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 database management tools • Possesses analytical skills and ability to understand and interpret results based on advanced statistical techniques • 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 • Exhibits customer service skills in the form of first-rate work products and project management • Demonstrates interest in learning new tools and processes • Ability to manage challenging client situations • Ability to troubleshoot and recommend solutions • Ability to translate complex information for a wide range of stakeholders PRINCIPAL ACCOUNTABILITIES • Develops custom data models and algorithms to apply to data sets. • 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. • May provide some leadership, coaching, and/or mentoring to subordinate group. • Maintains existing models and evaluates their goodness of fit. • 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.