Data Scientist

Wiredpeople, Inc.
Tallahassee, FL, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Data Analysis Analysis of Variance (ANOVA) Data Presentation Data Visualization Statistical Hypothesis Testing Python (Programming Language) Power BI Tableau (Software) Data Processing Multivariate Regression Model Validation Statistics Packages
+3 more
Qlikview Dataiku Data Pipelines

Job description

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., 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.

Requirements

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.

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