Job Summary:
WiredPeople, Inc. is seeking a highly skilled and experienced Data Scientist to provide advanced data analytics and modeling support. The ideal candidate will be a key contributor in transforming complex datasets into actionable insights that will inform public health and workforce strategies. This role involves developing predictive models, creating data visualizations, and collaborating with various stakeholders to drive data-informed decisions. This is a full-time position and onsite in Tallahassee, FL.
Key Responsibilities:
Develop, implement, and refine predictive models and forecasting for physician workforce analyses.
Design, create, and maintain integrated data pipelines to collect, clean, and process data from diverse sources.
Build and maintain interactive dashboards and data visualization tools to present analysis and key findings.
Perform robust statistical analyses, including regression, hypothesis testing, and ANOVA.
Conduct model validation and quality assurance to ensure accuracy and reliability.
Document data sources, transformations, and methodologies to ensure transparency.
Collaborate with stakeholders to define data requirements, business objectives, and strategic goals.
Create ad hoc and scheduled reports to communicate findings to both technical and non-technical audiences.
Train and mentor team members on data analysis tools and techniques.
Required Qualifications and Skills:
Minimum of five (5) years of experience in managing and analyzing large datasets.
Minimum of five (5) years of experience developing and implementing predictive models, with specific experience in workforce analytics or healthcare planning.
Minimum of five (5) years of experience with advanced statistical modeling techniques (e.g., time series forecasting, microsimulation, multivariate regression).
Minimum of five (5) years of proficiency with statistical programming languages such as Python or R.
Minimum of three (3) years of hands-on experience with Business Intelligence (BI) tools such as Power BI, Tableau, or Qlik.
Minimum of three (3) years of experience with healthcare data sources (e.g., physician licensure data, population health metrics).
Minimum of three (3) years of experience in a role leading complex data analysis projects.
Proven ability to draft and edit comprehensive reports to communicate findings.
Strong experience presenting data visualizations (e.g., bar charts, heat maps) to management teams.
Experience with data science platforms (e.g., Dataiku) is preferred.
Must successfully pass a criminal history background check.
WiredPeople provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, WiredPeople complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Skills Required
- At least five years of experience managing and analyzing large datasets.
- At least five years of experience developing and implementing predictive models, specifically in workforce analytics or healthcare planning.
- At least five years of experience with advanced statistical modeling techniques, including time series forecasting, microsimulation, or multivariate regression.
- At least five years of proficiency with statistical programming languages such as Python or R.
- At least three years of hands-on experience with BI tools such as Power BI, Tableau, or Qlik.
- At least three years of experience with healthcare data sources, such as physician licensure data or population health metrics.
- At least three years of experience leading complex data analysis projects.
- Ability to draft and edit comprehensive reports communicating findings.
- Experience presenting data visualizations to management teams.
- Experience with data science platforms such as Dataiku.
- Successfully pass a criminal history background check.
