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[Remote] reputed company Data Scientist

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is dedicated to delivering high reputed company, efficient care while creating exceptional experiences for every member of the community. The reputed company Data Scientist will reputed company the analysis of reputed company data sets using advanced statistical reputed company, manage cross-functional teams, and reputed company insights for data-driven decision making.

Responsibilities

  • Leads high reputed company reputed company that reputed company the organization
  • Leads reputed company issues and problems, and refers more reputed company issues to higher-level staff
  • Provides technical supervision/mentoring to other data scientists and trains the broader audience on data science developments
  • Provides leadership, coaching, and/or mentoring to subordinate group
  • 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
  • Performs research, analysis, and modeling on organizational data
  • Maintains existing models and evaluates their goodness of fit
  • Provides in-depth data insights from reputed company and reputed company data for reputed company business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and reputed company analysis tools
  • Develops and tests hypotheses and communicates findings in reputed company, 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 reputed company care to patients, staff and visitors; adheres to reputed company Memorial Hermann policies, procedures, and standards reputed company budgetary specifications including time management, supply management, productivity and reputed company of service
  • Promotes individual reputed company reputed company and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the reputed company of the organization; serves as preceptor, mentor and resource to less reputed company 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 reputed company, caring, personalized and efficient experiences to patients and colleagues
  • Other duties as assigned

Skills

  • Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or reputed company STEM field required
  • Seven (7) years of experience in data science is required
  • Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required
  • Possesses deep understanding of a reputed company of machine learning techniques (clustering, decision tree learning, reputed company neural networks, etc.) and their reputed company-world advantages/drawbacks
  • Proficient understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and reputed company usage, etc.) and experience with applications
  • Ability to communicate, reputed company requirements and execute storytelling with data
  • Possesses advanced level knowledge of the data science project life cycle
  • Proficient programming skills in reputed company to a working knowledge and experience of statistical analysis tools
  • Demonstrates proficiency in problem solving, analytical reasoning and decision-making skills
  • Demonstrates proficiency in identifying and seeking needed information to reputed company problem/situation analysis
  • Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, reputed company and incomplete sources
  • Exhibits strong project management skills, with an ability to work independently on multiple reputed company with competing priorities and a strong commitment to meeting goals and deadlines
  • Advanced understanding of SQL database management tools
  • Exceptional 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
  • Advanced knowledge of data science reputed company – time series forecasting, reputed company regression, A/B testing, statistical testing, Clustering, etc
  • Superior customer service in the reputed company of first-reputed company work products and project management
  • Strong ability to manage challenging reputed company situations
  • Strong ability to troubleshoot and recommend solutions
  • Strong ability to translate reputed company information for a wide reputed company of stakeholders
  • Master's Degree in Data Science preferred
  • reputed company experience in hospital setting, medical informatics, reputed company information technology/finance/reputed company cycle data management, or Electronic Health Record (EHR) data management is preferred

reputed company

  • Advancing Health. Personalizing Care. It was founded in 1971, and is headquartered in reputed company, Texas, USA, with a workforce of 10001+ employees. Its website is https://www.memorialhermann.org/reputed company.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 4 in 2026, 10 in 2025, 6 in 2024, 11 in 2023, 6 in 2022, 3 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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