{"id":4150623,"url":"https://alion.io/job/memorialhermann-lead-data-scientist","title":"Lead Data Scientist","company":{"id":11894,"name":"Memorialhermann","domain":"memorialhermann.org","url":"https://alion.io/company/memorialhermann","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-11-12T04:27:59Z","employer_posted_date":null,"last_verified_at":"2026-11-12T04:27:59Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Memorial Hermann Health System is dedicated to delivering high quality, efficient care while creating exceptional experiences for every member of the community. The Lead Data Scientist will analyze complex data sets using advanced statistical methods, lead cross-functional teams, and provide insights for data-driven decision making in healthcare.\n\nResponsibilities\nLeads high priority projects that impact the organization\nLeads complex issues and problems, and refers more complex issues to higher-level staff\nProvides technical supervision/mentoring to other data scientists and trains the broader audience on data science developments\nProvides leadership, coaching, and/or mentoring to subordinate group\nDevelops custom data models and algorithms to apply to data sets\nDevelops 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\nPerforms research, analysis, and modeling on organizational data\nMaintains existing models and evaluates their goodness of fit\nProvides 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\nDevelops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams\nWorks closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes\nAssists with the evaluation of data science vendors and tools\nEnsures 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\nPromotes 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\nDemonstrates 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\nOther duties as assigned\n\nSkills\nBachelor's Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required\nSeven (7) years of experience in data science is required\nBusiness analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required\nPossesses deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks\nProficient understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications\nAbility to communicate, gather requirements and execute storytelling with data\nPossesses advanced level knowledge of the data science project life cycle\nProficient programming skills in addition to a working knowledge and experience of statistical analysis tools\nDemonstrates proficiency in problem solving, analytical reasoning and decision-making skills\nDemonstrates proficiency in identifying and seeking needed information to perform problem/situation analysis\nAdvanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources\nExhibits 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\nAdvanced understanding of SQL database management tools\nExceptional analytical skills and ability to understand and interpret results based on advanced statistical techniques\nStrong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences\nAbility to work under minimal supervision in a fast-paced multidisciplinary environment\nAdvanced knowledge of data science methods – time series forecasting, linear regression, A/B testing, statistical testing, Clustering, etc\nSuperior customer service in the form of first-rate work products and project management\nStrong ability to manage challenging client situations\nStrong ability to troubleshoot and recommend solutions\nStrong ability to translate complex information for a wide range of stakeholders\nMaster's Degree in Data Science\nProfessional experience in hospital setting, medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management\n\nBenefits\nW2 option\n\nCompany Overview\nAdvancing Health. Personalizing Care. It was founded in 1971, and is headquartered in Houston, Texas, USA, with a workforce of 10001+ employees. Its website is https://www.memorialhermann.org/foundation.\n\nCompany H1B Sponsorship\nMemorial Hermann Health System has a track record of offering H1B sponsorships, with 15 in 2026, 9 in 2025, 6 in 2024, 11 in 2023, 6 in 2022, 3 in 2020. 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