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Senior Data Science Analytics Jobs in Florida (NOW HIRING)

Infonet Consulting Group, Inc.

Be Seen First

Sr. Data Scientist: $90/hr

Miami, FL · On-site

$83 - $90/hr

... as a senior owner for production data science outcomes, combining advanced modeling ... analytical rigor into decisions, workflow change, and measurable performance improvement ...

Maximus

Chief Data Scientist

Tampa, FL · On-site

TCS071, T5, Band 8 Job-Specific Essential Duties and Responsiblities: - Serves as the senior technical authority for data science, analytics, and AI/ML, setting strategy aligned with enterprise and ...

Holland America Group

Senior Data Scientist

Miami, FL · On-site

We are looking to hire a Sr. Data Scientist. Princess Cruises operates an advanced and extremely ... Use insights garnered from analytical studies to influence decision making and promote data science ...

Holland America Group

Senior Data Scientist

Miami, FL

We are looking to hire a Sr. Data Scientist. Princess Cruises operates an advanced and extremely ... Use insights garnered from analytical studies to influence decision making and promote data science ...

Holland America Group

Senior Data Scientist

Miami, FL · On-site

We are looking to hire a Sr. Data Scientist. Princess Cruises operates an advanced and extremely ... Use insights garnered from analytical studies to influence decision making and promote data science ...

Prescient Edge

Senior Data Scientist

Doral, FL · On-site

Personnel must be able to translate operational challenges into analytic solutions, ensuring ... A Master's degree in Data Science, Machine Learning, Statistics, or a related field, or nine (9) ...

Lennar

Sr Manager, Data Science

Miami, FL · On-site

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 ...

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Senior Data Science Analytics information

What is the difference between Senior Data Science Analytics vs Data Analyst?

AspectSenior Data Science AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often requires experience in machine learningBachelor's degree in Data, Statistics, or related fields; often entry-level or junior roles
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, small businesses, entry-level roles across industries

Senior Data Science Analytics professionals focus on complex modeling and predictive analytics, often requiring advanced skills and experience. Data Analysts typically handle data collection, cleaning, and basic reporting. While both roles work with data, Senior Data Science Analytics roles involve more technical expertise and strategic insights, making them suitable for experienced professionals in data-driven industries.

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:
Senior Data Science Analytics jobs near you
Data Science & Analytics Technical Lead (SOCOM)

Data Science & Analytics Technical Lead (SOCOM)

Data Systems Analysts, Inc.

Tampa, FL • On-site

Full-time

Posted 7 days ago

Job description

All hired employees are expected to have experience with Microsoft Copilot and / or an approved equivalent AI solution.
Overview
DSA is seeking a Data Science & Analytics Technical Lead to support SOCOM in advancing enterprise data, analytics, and AI capabilities. This role serves as the senior technical authority for data science and AI-enabled solution delivery, leading the design, transition, and sustainment of mission-focused capabilities across the SOF enterprise.
Location
Tampa, FL (MacDill AFB)
CONUS and OCONUS travel required
Responsibilities
  • Provide technical leadership for the design, development, and delivery of data science, analytics, and AI capabilities across the SOF enterprise, supporting HQ Staff, Service Components, and Theater Special Operations Commands
  • Lead the end-to-end lifecycle for analytics and AI capabilities, from problem framing and model development through deployment, user adoption, performance measurement, and sustainment
  • Apply descriptive, diagnostic, predictive, and prescriptive analytics to structured and unstructured data to generate mission-relevant insight for operators and decision-makers
  • Translate complex data and analytical outputs into actionable intelligence that supports operational planning, targeting, and decision advantage
  • Lead development, testing, operational deployment, and sustainment of AI and analytics solutions, ensuring capabilities move from prototype to mission use in operational environments
  • Lead advanced AI experimentation, modeling, and evaluation efforts to assess feasibility, mission utility, scalability, and transition potential for emerging analytic solutions
  • Design and develop data visualization solutions that communicate analytic results clearly and effectively to technical and non-technical stakeholders
  • Collaborate with engineering, platform, and mission teams to operationalize analytics and embed AI-enabled capabilities into production systems, mission workflows, and existing SOF analytic environments
  • Lead and mentor cross functional teams spanning data science, engineering, platform, and mission stakeholders, providing technical direction and execution oversight across multiple efforts and locations
  • Establish and enforce standards for model governance, reproducibility, documentation, and lifecycle management
  • Support development of enterprise analytics capabilities aligned with SOCOM data strategies, governance frameworks, and security requirements
  • Design and test analytics and AI-enabled solutions in collaboration with SOF stakeholders and end users, ensuring alignment with operational needs
  • Account for operational constraints such as limited bandwidth, disconnected environments, and contested conditions when designing and deploying analytics solutions
  • Conduct feasibility and suitability assessments for analytics and AI use cases, including performance expectations, scalability, and sustainment considerations
  • Operate effectively across classified, distributed, and mission-critical environments
  • Engage and brief senior government leadership on analytic outcomes, technical tradeoffs, risks, and mission impact, translating complex AI and analytics work into recommendations
Required Qualifications
  • Active TS/SCI clearance
  • Bachelor's or Master's degree in Data Science, Computer Science, Applied Mathematics, Statistics, or a related technical field
  • 10+ years of experience in data science, analytics, or AI/ML development
  • 5+ years of experience leading data science or analytics teams within DoD, IC, or SOF environments
  • 5+ years of experience providing analytical support to SOF mission environments
  • Experience supporting SOF Enterprise organizations, including SOCOM HQ, TSOCs, and Service Component Commands
  • Experience centrally managing or leading distributed technical teams across multiple organizations or locations
  • Demonstrated experience delivering analytics and AI solutions from concept through operational deployment, user adoption, and sustained mission use
  • Experience applying advanced analytics techniques, including predictive modeling, machine learning, and statistical analysis, to mission data
  • Experience working with large, complex, multi-source data sets in operational or mission environments
  • Strong programming experience in Python and/or R and experience with relevant machine learning frameworks
  • Demonstrated ability to lead analytics and AI efforts in mission-critical environments with rapidly evolving priorities, compressed timelines, and changing operational requirements
  • Proven ability to mentor technical teams, guide solution development in ambiguous environments, and raise the quality and consistency of analytics and AI delivery across multiple efforts
Desired Qualifications
  • 3+ years of experience managing or supporting SOF digital capabilities or enterprise analytics initiatives
  • 3+ years of experience supporting SOF HQ elements, Service Components, or Theater Special Operations Commands
  • Experience supporting advanced AI experimentation or operational analytics capabilities in mission environments with constrained infrastructure, distributed users, or disconnected operations
  • Experience leading AI/ML experimentation, modeling, and simulation efforts in support of mission use cases
  • Experience integrating analytics and AI capabilities into operational systems and workflows
  • Experience with data visualization tools and techniques for communicating complex insights to senior leaders
  • Experience working in cloud, hybrid, or distributed computing environments supporting data and analytics platforms
  • Familiarity with DevSecOps practices and collaboration with engineering teams to deploy analytics solutions
  • Experience operating in high-tempo environments with rapidly evolving mission priorities

Many of DSA's positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. DSA is proud to be an Equal Opportunity Employer. DSA is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. DSA requires background checks , where permitted , by law. DSA is an E-Verify Employer.

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