Lead Data Scientist

Veracity Ventures Inc.; Houston (TX); On-site; USD 140,000 - 220,000; Full time

Job summary

Veracity Ventures Inc. in Houston, Texas is seeking a Lead Data Scientist to drive advanced analytics initiatives onsite. The role requires seven years of data science experience, strong ML capabilities, and the ability to translate data insights into business decisions.

Healthcare domain experience and advanced statistical methods are preferred, with a focus on data management across IT and finance/revenue cycle contexts. This is an onsite role in Houston with cross-functional collaboration.

Qualifications

• Bachelor’s Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required.
• Master’s Degree in Data Science preferred.
• Seven (7) years of experience in data science is required.
• Professional experience in hospital setting, medical informatics, healthcare IT/finance/revenue cycle data management, or EHR data management is preferred.
• Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.).
• Deep understanding of machine learning techniques (clustering, decision trees, neural networks, etc.).
• Advanced statistical techniques and concepts (regression, distributions, statistical tests, etc.).
• Ability to communicate requirements and tell stories with data.
• Strong project management and ability to work on multiple projects with deadlines.
• Advanced knowledge of data science methods – time series forecasting, linear regression, A/B testing, clustering, etc.

Education

Bachelor’s Degree in science, engineering, computer science, mathematics, statistics, or related STEM field

Master’s Degree in Data Science preferred

Tools

SQL database management tools

Statistical analysis tools

Job description

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