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