Lead Data Scientist

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