Lead Data Scientist
Full Time Role
Location: Houston, Texas, Onsite
MINIMUM QUALIFICATIONS
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:
- 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