Data Analytics Consultant at The Ohio State University in Ackerman, MS
Job Description Contributes strategic vision and serves as the top-level technical contributor and lead for the most complex data and analytics initiatives in an effort to align information technology solutions with business initiatives. Serves as the primary contributor and consultant for data related to patient care services in the planning, design, development, implementation, functionality and evaluation of integrated clinical information systems that support and enhance clinical practice, administrative and management needs and patient outcomes. Data Scientist contributes strategic vision and serves as the top-level technical contributor and lead for the most complex and advanced data analytics initiatives. Creates value to organization leadership by compiling and analyzing business data from across clinical, research, educational and operational areas of the Medical Center. Data Science is an enterprise-wide support role and the work involves the application of advanced analytical methods, such as mathematical and simulation modeling, and excellent communication skills in order to identify actionable long-term strategies and implement solutions to complex issues across the medical center. Minimum Education Required Master's Level Degree Required Qualifications Masters Degree required in Data Science, Industrial and Systems Engineering, Computer Science, Operations Research, Applied Statistics, Applied Mathematics, Informatics or related field; PhD desired; a minimum of three (3) years of recent and relevant hands-on healthcare predictive analytic experience required. Solid knowledge in statistics/applied mathematics and computer science leveraged in a healthcare/business setting, including but not limited to:
Discrete event simulation and mathematical modeling Data acquisition using SQL or some other format, understanding of relational data base design Experience with Logic Based Programming languages and tools such as R, Python, SQL, etc. Mathematical Modeling experience using linear, integer and non-linear techniques In-depth understanding of Discrete and Continuous Simulation , Inferential Statistics, Bayesian Statistics, Experimental Design, both univariate and multi-variate regression analysis Familiarity of machine rule mining/learning techniques such as market basket, kNN, Decision Tree, Random Forests, and other techniques Have the capability to bridge the gap between data science and business management. Must display exceptional organizational skills and must be detail oriented. Excellent verbal and written communication skills, including excellent customer relationship skill sets. Ability to lead and produce positive outcomes in a changing, unstructured work environment Ability to communicate changes and solutions with people form a variety of technical and nontechnical backgrounds Ability to think strategically with appropriate level of detail analysis to plan and execute Ability to solve problems and drive issues or projects to conclusion Ability to work collaboratively across the organization Proactive--does not wait for things to happen--makes them happen Experience with advanced data visualization tools a plus Strong work ethic Integrity Strong leadership and mentoring skills and experience Strong analytical and problem-solving skills Strong attention to detail Ability to translate data into meaningful information in report or presentation formats
Salary Range:
$100K -- $150K
Minimum Qualification
Systems Architecture & EngineeringEstimated Salary: $20 to $28 per hour based on qualifications.
Discrete event simulation and mathematical modeling Data acquisition using SQL or some other format, understanding of relational data base design Experience with Logic Based Programming languages and tools such as R, Python, SQL, etc. Mathematical Modeling experience using linear, integer and non-linear techniques In-depth understanding of Discrete and Continuous Simulation , Inferential Statistics, Bayesian Statistics, Experimental Design, both univariate and multi-variate regression analysis Familiarity of machine rule mining/learning techniques such as market basket, kNN, Decision Tree, Random Forests, and other techniques Have the capability to bridge the gap between data science and business management. Must display exceptional organizational skills and must be detail oriented. Excellent verbal and written communication skills, including excellent customer relationship skill sets. Ability to lead and produce positive outcomes in a changing, unstructured work environment Ability to communicate changes and solutions with people form a variety of technical and nontechnical backgrounds Ability to think strategically with appropriate level of detail analysis to plan and execute Ability to solve problems and drive issues or projects to conclusion Ability to work collaboratively across the organization Proactive--does not wait for things to happen--makes them happen Experience with advanced data visualization tools a plus Strong work ethic Integrity Strong leadership and mentoring skills and experience Strong analytical and problem-solving skills Strong attention to detail Ability to translate data into meaningful information in report or presentation formats
Salary Range:
$100K -- $150K
Minimum Qualification
Systems Architecture & EngineeringEstimated Salary: $20 to $28 per hour based on qualifications.
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