LEAD DATA SCIENTIST

Tasks

• 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 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.

Requirements

Education :

Bachelor’s Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required. Master’s Degree in Data Science preferred.

Experience / Knowledge / Skills :

Benefits

There will be :

1. Recruiter Interview / Screen

2. Hiring Manager Interview

3. Panel Interview