Job Description

The Data Scientist utilizes machine learning, modeling, analytical, statistical, and programming skills to collect, analyze, and interpret data to develop data-driven solutions to improve outcomes.

Responsibilities

Essential Functions
 Performs ad-hoc analysis using domain knowledge and scientific method to answer complex business questions, to test hypotheses, and to drive improvement.
 Promotes the use of data driven insights throughout the organization to develop actionable information and drive
improvement.
 Partners with senior executives to understand and execute on potential applications of advanced analytics to improve decision
making and to further strategic imperatives.
 Conducts technical design, development, validation, delivery, and promotion of analytical solutions.
 Establishes and maintains collaborative, supportive, and professional relationships with team members on the team and
throughout the organization.
 Promotes data literacy throughout the organization by developing documentation, templates and tools for commonly used
approaches, and by serving as a resource for those in analytical roles throughout the organization.
 Applies advanced statistical techniques and concepts (including hypothesis testing, statistical significance, regression, Geospatial
analysis, ANOVA, factor analysis, etc.) as well as emerging data science principles, theories, and techniques.
 Participates in the development and operationalization of emerging advanced analytical capabilities.
 Applies business acumen and an understanding of commonly used data elements to inform analysis.
 Extracts raw data, structured and unstructured, from enterprise systems and other sources and performs data engineering and
curation to facilitate analysis.
 Identifies customers' needs and translates them into statistical research questions, technical requirements, and user stories.
 Assists in new team member on-boarding and in providing analytical, methodological, and career development support to junior
team members.
 Applies models, and data analysis methodologies to identify patterns and trends in large data.
 Develops standard data models, algorithms, and reports and develops and tests measurement and predictive and classification
models.
 Develops code that is robust, reusable, and well-documented.
 Maintains proficiency with business intelligence and statistical applications (i.e., Power BI, Qlik, R, SPSS, AMOS, or similar tools).
 Applies Artificial Intelligence (AI), machine learning, deep learning, reinforcement learning, and Natural Language Processing
(NLP) techniques (sentiment analysis, decision trees, random forests, Naïve Bayes classifiers, k-nearest neighbor, logistic
regression, and linear regression) in Python (Pandas, Sci Kit Learn, Microsoft Cognitive Services, etc.).
 Utilizes data and computing capabilities in Azure cloud or AWS with common technologies (Databricks, Synapse, etc.).
 Uses clear and concise verbal and written communication skills to translate methodologies and analytical results into nontechnical business insights presented through data stories.
 Maintains reasonably regular, punctual attendance consistent with Orlando Health policies, the ADA, FMLA and other federal,
state and local standards.
 Maintains compliance with all Orlando Health policies and procedures.

Qualifications

Education/Training
Bachelor’s degree in a quantitative discipline, such as Computer Science, Data Science, Mathematics or Statistics and/or related
quantitative field.

Experience
 Five (5) years’ work experience in measurement and analysis, quantitative business problem solving, operations analysis,
simulation and/or predictive analytics. superior analytical skills with diverse analytics and statistical software and applications.
 Five (5) years’ experience working in related job function and industry.
 Healthcare or life science experience preferred