Public Sector Data Scientist — Government Operations

My Florida Families

Tallahassee, Northern (FL, KY)

Hybrid

USD 70,000 - 110,000

Full time

2 days ago
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Job summary

The Florida Department of Children and Families (DCF) is seeking a Data Scientist within the Data & Information Services unit. The role focuses on mining, analyzing, and visualizing data using advanced techniques from diverse sources.

You will also draft narratives and create visual representations of findings for program impact assessments. Ideal candidates will apply statistical methods, build diagnostic and predictive models, and provide SME consultation on trends affecting SAMH programs.

Qualifications

  • Bachelor's degree required in a relevant field and four years of professional data analysis experience.
  • Proficiency with Microsoft Office Suite (Office, Teams, OneDrive, SharePoint).
  • Experience with data modeling, data architecture, and statistical testing.
  • Familiarity with data visualization tools and creating dashboards.

Responsibilities

  • Mine data from multiple sources and build readable data formats for analysis.
  • Develop and validate quantitative models to support predictive assessments.
  • Create documentation and present results to leadership and stakeholders.
  • Design graphs and visualizations to communicate trends and insights.

Skills

Analytical mindset
Communication skills
Team collaboration
Independent work
Data visualization
Data storytelling

Education

Bachelor's degree in computer science / data science / mathematics / statistics / business analytics

Tools

Tableau
PowerBI
SQL
SAS

Job description

The Florida Department of Children and Families (DCF) is seeking a Data Scientist within the Data & Information Services unit. The role focuses on mining, analyzing, and visualizing data using advanced techniques from diverse sources.

You will also draft narratives and create visual representations of findings for program impact assessments. Ideal candidates will apply statistical methods, build diagnostic and predictive models, and provide SME consultation on trends affecting SAMH programs.

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