Lead Data Scientist

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