Job Description
Job Responsibilities
Principal Accountabilities
- Leads high priority projects that impact the organization.
- Leads complex issues and problems, and refers more complex 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 structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools.
- 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 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 service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues.
- Other duties as assigned.
Minimum Qualifications
Education
- Bachelors Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required. Masters Degree in Data Science preferred. Licenses/Certifications: (None) Experience / Knowledge / Skills Seven (7) years of experience in data science is required
- Professional experience in hospital setting, 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
- Possesses deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Proficient understanding 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 advanced level knowledge of the data science project life cycle
Proficient programming skills in addition 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 perform 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, 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
- 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 methods time series forecasting, linear regression, A/B testing, statistical testing, Clustering, etc.
- Superior customer service in the form of first-rate work products and project management
- Strong ability to manage challenging client situations
- Strong ability to troubleshoot and recommend solutions
- Strong ability to translate complex information for a wide range of stakeholders
Benefits
Dental Insurance, Medical Insurance, Vision Insurance, Life Insurance, Retirement, Equity, PTO,
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