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Flexible Data Science Jobs in Florida (NOW HIRING)

... flexible environment that helps them succeed both at work and at home. Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining ...

... flexible spending accounts, paid holidays, three weeks paid time off, and more. Koniag IT Systems, ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

... flexible spending accounts, paid holidays, three weeks paid time off, and more. Koniag IT Systems, ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining ...

Lead Data Scientist

Aventura, FL · On-site

$175K - $195K/yr

You will set the standard for data science excellence, architect scalable solutions, and help ... flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a ...

Senior Lead Data Scientist

Aventura, FL · On-site

$204K - $226K/yr

Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP ... flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a ...

Data Scientist

Tampa, FL · On-site

$120 - $190/hr

Master\'s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ... Flexible Schedules * Reimbursements for Continued Education and Training Why Graham Technologies?

Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data ... Bachelor's/master's in computer science or equivalent (can be marked optional or flexible ...

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Flexible Data Science information

What is flexible data science?

Flexible data science refers to the practice of applying data science methods, tools, and techniques in a way that adapts to different industries, project requirements, and work environments. Professionals in flexible data science may work remotely, part-time, on contract, or across multiple domains, using skills in statistics, programming, and data analysis to solve a variety of problems. This approach allows both employers and data scientists to adjust workflows and deliverables to fit changing business needs and schedules.

How does a flexible data science role typically structure collaboration and workload across multiple projects?

In a flexible data science role, professionals often work on several projects simultaneously, collaborating with cross-functional teams such as engineering, product management, and business stakeholders. This structure requires strong communication skills and the ability to prioritize tasks effectively. The work environment is usually dynamic, with shifting priorities and the need to adapt to different project requirements. Flexibility in both working hours and methodologies enables data scientists to manage deadlines while delivering actionable insights for diverse business needs.

What are the key skills and qualifications needed to thrive as a flexible data scientist, and why are they important?

To thrive as a Flexible Data Scientist, you need a strong background in statistics, programming (Python or R), and data analysis, often supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), data visualization tools (such as Tableau or Power BI), and experience with cloud platforms are widely required. Adaptability, problem-solving, and effective communication are crucial soft skills for translating complex data insights into actionable business strategies. These competencies ensure you can handle varied data challenges, deliver valuable insights, and collaborate effectively across dynamic project environments.

What are the most commonly searched types of Data Science jobs in Florida?

The most popular types of Data Science jobs in Florida are:

What cities in Florida are hiring for Flexible Data Science jobs?

Cities in Florida with the most Flexible Data Science job openings:

Infographic showing various Flexible Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Data Science and Analytics Manager

Corient Services LLC

Miami, FL • On-site

$90 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New


Job description

Key Responsibilities
  • Lead the Data Science and Analytics team, managing data analysts and delivering dashboards, recurring reports, and ad‑hoc analysis.
  • Establish consistent standards for data science and analytics development and documentation.
  • Develop and maintain data solutions, including descriptive, diagnostic, predictive, and prescriptive analytics to enable decision making and measurable business impact.
  • Maintain dashboards, recurring reports, and analytical outputs.
  • Implement data validations to ensure integrity of data solutions and ensure that data processes and outputs are robust, insightful, and timely.
  • Promptly address ad‑hoc analysis requests with clear, well‑structured outputs rooted in accurate data and focused on actionable insights.
  • Maintain clear documentation of data sources, logic, data transformations, lineage, and outputs.
  • Translate stakeholder needs into clear data specifications to meet business requirements.
  • Act as a senior subject matter expert for enterprise analytics and reporting.
Qualifications
  • 4‑6+ years of experience in data science or analytics roles.
  • 2‑3+ 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.
Physical Requirements
  • Work in an office environment, which may include prolonged periods of sitting at a desk and working on a computer.
  • Ability to lift up to 15 pounds.
  • Required to work onsite 4 days per week.
Eligibility and Employment Requirements
  • Must be 18 years of age or older.
  • Unrestricted work authorization to work in the United States.
  • For U.S. employment opportunities, Corient hires U.S. citizens or permanent residents.
  • Proof of work authorization and participation in E‑Verify is required.
  • Willingness to execute an Employee Agreement or Confidentiality and Non‑Disclosure Agreement.
Benefits
  • 401(k) Plan with Employer Matching
  • Four Medical Plan options subsidized by Corient
  • Employer‑paid Dental, Vision & Life and AD&D Insurance
  • Short‑term & Long‑term Disability
  • Paid Maternity & Parental Leave
  • Flexible Spending Accounts & Health Savings Accounts
  • Dependent Care FSA
  • Commuter & Transit FSA
  • Corporate Discount Program – Perkspot
  • Training Reimbursement
  • Paid Professional Designations
  • Volunteer days (giving back to community)
Equal Opportunity Employer

We are an equal opportunity employer. All candidates will be recruited and, if applicable, selected and employed without regard to sex, race, religion, marital status, veteran status, age, national origin, sexual orientation, gender identity, color, creed, ancestry, disability, genetic information or any other basis prohibited by law.

Job Description Disclaimer

This position description is intended to provide a general overview of the expectations and responsibilities of this position and may not include all tasks that may be assigned. As the nature of business demands change, so may the functions of this position. Additional duties and responsibilities may be assigned with or without notice.

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