Title: Lead Data Scientist
Location: Houston TX
Job Type: Permanent Full Time
Job Mode: 100% Onsite
Benefits- DENTAL INSURANCE/ MEDICAL INSURANCE/ VISION INSURANCE/ LIFE INSURANCE/ RETIREMENT/ Equity/ PAID TIME OFF
Must-Haves
Project Lead Experience
Building Data Sets
Presenting to A-C level executives
Must have Cogito experience
AWS Certification is a MUST
Job Description
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
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 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 Hermanns service standards by providing safe caring personalized and efficient experiences to patients and colleagues.