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Manager Data Science Analytics Jobs in Florida (NOW HIRING)

Build, manage, and mentor a high-performing team of analysts as the organization scales. What we ... data science roles. * Strong programming skills in Python and SQL. * Experience with modern data ...

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... analytics-setting standards for technical rigor, code quality, and business impact. * Own the ...

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... analytics-setting standards for technical rigor, code quality, and business impact. * Own the ...

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... analytics--setting standards for technical rigor, code quality, and business impact. Own the ...

... managers to ensure analytics and AI solutions deliver measurable mission value and enterprise-wide impact. - Provides technical oversight, mentorship, and leadership to data science teams, fostering ...

... managers to ensure analytics and AI solutions deliver measurable mission value and enterprise-wide impact. - Provides technical oversight, mentorship, and leadership to data science teams, fostering ...

... analyses on user behavior patterns to uncover opportunities for product optimization Qualifications: * 10+ years of experience in data science , with at least 5 years in leadership roles managing ...

... managers to ensure analytics and AI solutions deliver measurable mission value and enterprise-wide impact. • Provides technical oversight, mentorship, and leadership to data science teams ...

Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics ...

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Manager Data Science Analytics information

What is the difference between Manager Data Science Analytics vs Data Scientist?

AspectManager Data Science AnalyticsData Scientist
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, explores data independently or in small teams
Employer & Industry UsageUsed in organizations with analytics teams, across industries like tech, finance, healthcareCommonly employed in data-driven roles across similar industries

The main difference is that a Manager Data Science Analytics oversees teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts technical data analysis and modeling. Both roles require strong analytical skills, but the managerial position emphasizes team management and stakeholder communication.

What are the most commonly searched types of Data Science Analytics jobs in Florida? The most popular types of Data Science Analytics jobs in Florida are:
What cities in Florida are hiring for Manager Data Science Analytics jobs? Cities in Florida with the most Manager Data Science Analytics job openings:

Data Science and Analytics Manager

Talent Mappers

Miami, FL • On-site

Other

Posted yesterday


Job description

We are seeking an experienced Data Science & Analytics Manager to manage a team of data analysts and drive the development of enterprise-grade data solutions across the organization. This role owns the full analytics lifecycle — from descriptive to prescriptive analytics — delivering dashboards, recurring reports, and ad-hoc analysis that enable data-driven decision-making and measurable business impact for key stakeholders.


This position requires 5 days in office in Brickell.


Key Responsibilities


  • Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics development and documentation.
  • Data solutions. Develop and maintain data solutions, such as descriptive, diagnostic, predictive, and prescriptive analytics focused on enabling decision making, optimization, and measurable business impact for key functional and business stakeholders. Develop and maintain dashboards, recurring reports, and analytical outputs.
  • Data quality assurance. Implement data validations to ensure integrity of data solutions. Ensure that data processes and outputs are robust, insightful, and timely.
  • Ad-hoc analytics and insights. Promptly address ad-hoc analysis requests with clear, well-structured outputs rooted in accurate data and focused on delivering actionable insights.
  • Documentation. Maintain clear documentation of data sources, logic, data transformations, lineage, and outputs.
  • Cross-functional data science and analytics support. Translate stakeholder needs into clear data specifications to meet business requirements. Act as a senior subject matter expert for enterprise analytics and reporting.


Qualifications


  • 6+ years of experience in data science or analytics roles.
  • 2+ years of experience managing teams and complex data environments.
  • Background in Financial Services, consulting, or high growth technology environments preferred.
  • Distinguished academic track record in quantitative discipline.


Skills and competencies

  • Proficiency in SQL, DBT, and Python in a data science context; proficiency in Tableau a strong plus.
  • Strong command of best practices for data modeling, data transformations, and data quality frameworks to support scalable, enterprise grade data products.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Effective communication, both orally and in writing.
  • Strong documentation and attention to detail.
  • Ability to work independently and collaboratively in a fast-paced, dynamic environment, demonstrating strong organization, prioritization, and follow-through.



Equal Opportunity Statement


We are an equal opportunity employer and make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.