"Data Scientist"

Data Scientist

Company: University of Oklahoma

Job Location: Oklahoma-Oklahoma City-Health Sciences Center

Category: Database Administrator

Type: Full-Time

Job Number: 252148

Organization: Dept of Neurology

Schedule: Work Schedule: Monday - Friday, 8AM - 5PM

Work Type: Onsite

Salary Range: Commensurate based on experience

Benefits Provided: Yes

Required Attachments: Resume

Job Description

Responsible for department data analytics, collecting large amounts of data, interpreting data, aiding in departmental data issues, and other data-driven initiatives for the department.

Duties:

• Meets with team members regarding projects
• Collects and interprets data and aid in all department data needs
• Automates and integrates processes
• Develops processes for formulation of data-driven solutions for improvements
• Develops complex models that integrate business rules and requirements
• Creates machine learning models
• Communicates and meets with teams and interested parties
• Shares complex ideas verbally and visually in an understandable manner with non-technical stakeholders
• Performs other duties as needed to successfully fulfill the functions of the position.

Job Requirements

Required Education: Bachelor's degree in related field, AND: 48 months experience in Data Science, Predictive, or Advanced Analytics or related experience.

Equivalency/Substitution: Will accept 48 months of experience in lieu of the Bachelor's degree for a total of 96 months of related experience.

Skills:

• Ability to use data visualization tools
• Advanced knowledge of data querying languages, and statistical or mathematical software
• Advanced knowledge in writing algorithms, and knowing when to apply them
• Ability to understand statistics, multi-variable calculus, and linear algebra
• Ability to communicate verbally and in writing
• Ability to lead other employees

Certifications: None

Working Conditions:

Physical: Sits for prolonged periods of time. Ability to engage in repetitive motion. Manual dexterity. Communicate effectively.

Environmental: Standard Office Work Environment.

Departmental Preferences: Experience with data visualization tools (Tableau, Power BI, etc.). Knowledge of machine learning or predictive modeling techniques in a healthcare context. Familiarity with quality improvement methodologies (e.g., Six Sigma, Lean). Prior experience supporting grant-funded clinical research or academic medical centers. Master of Science degree in Data Science, Biostatistics, Epidemiology, Health Informatics, or other related field.