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Data Science Analytics Jobs in Florida (NOW HIRING)

OpenFX

Data Science & Analytics Lead

Miami, FL · On-site

Role Overview We are seeking a talented Data Science & Analytics Lead to build and lead our analytics function from the ground up. This role is crucial for establishing our core data infrastructure ...

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 ...

Venatore Llc

Data Scientist Lead

Tampa, FL · On-site

Lead and provide technical oversight for data engineering, data science, analytics, and predictive analytics teams in support of operational mission objectives. * Establish strategic priorities for ...

AEVEX

Program Data Science Analyst

Tampa, FL

Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics. * Design, develop, test, and document data science microservices and analytical ...

AEVEX

Program Data Science Analyst

Tampa, FL

Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics. * Design, develop, test, and document data science microservices and analytical ...

AEVEX

Program Data Science Analyst

Tampa, FL · On-site

Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics. * Design, develop, test, and document data science microservices and analytical ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Write production-level code for robust analytics products, ensuring scalability and maintainability. * Collaborate with data and software engineers to support data science solutions through the ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Write production-level code for robust analytics products, ensuring scalability and maintainability. * Collaborate with data and software engineers to support data science solutions through the ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Write production-level code for robust analytics products, ensuring scalability and maintainability. * Collaborate with data and software engineers to support data science solutions through the ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Write production-level code for robust analytics products, ensuring scalability and maintainability. * Collaborate with data and software engineers to support data science solutions through the ...

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All JobsData Science Analytics JobsData Science Analytics Jobs in Florida

Data Science Analytics information

See Florida salary details

$18

$40

$70

How much do data science analytics jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data science analytics in Florida is $40.91, according to ZipRecruiter salary data. Most workers in this role earn between $32.88 and $46.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Analytics professional, and why are they important?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

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

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.
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 are popular job titles related to Data Science Analytics jobs in Florida? For Data Science Analytics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Science Analytics jobs in Florida look for? The top searched job categories for Data Science Analytics jobs in Florida are:
Data Science Analytics jobs near you
Infographic showing various Data Science Analytics job openings in Florida as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $85,097 per year, or $40.9 per hour.

Data Science & Analytics Lead

OpenFX

Miami, FL • On-site

Full-time

Posted 5 days ago

Job description

About Us
OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We're backed by Accel, Lightspeed, NfX and other top-tier investors.
Role Overview
We are seeking a talented Data Science & Analytics Lead to build and lead our analytics function from the ground up. This role is crucial for establishing our core data infrastructure and delivering actionable insights across all teams to power strategic decision-making and drive business growth.
Key Responsibilities:
  • Data Infrastructure & Governance:
    • Design and implement our core analytics infrastructure, including data warehousing, ETL processes, and visualization tools.
    • Establish data quality standards, automate routine reporting, and create self-service analytics tools to ensure data accuracy and accessibility.
  • Business Intelligence & Insights:
    • Create and maintain dashboards for key business metrics across operations, finance, partnerships, and growth teams.
    • Develop comprehensive analytics for transaction monitoring, liquidity optimization, platform performance, and revenue forecasting.
    • Analyze user behavior and transaction patterns to drive growth strategies.
  • Risk & Financial Analytics:
    • Build analytics models for pricing optimization and financial planning.
    • Create risk monitoring systems and fraud detection analytics to ensure platform security.
  • Strategic Partnership & Team Leadership:
    • Partner with leadership to provide data-driven insights for strategic decision-making.
    • Build, manage, and mentor a high-performing team of analysts as the organization scales.

What we are looking for
Must-haves:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 6+ years of experience in analytics or data science roles.
  • Strong programming skills in Python and SQL.
  • Experience with modern data stack tools (e.g., Snowflake, dbt, Airflow).
  • Proven experience building and maintaining large-scale data pipelines.
  • Excellent communication skills with the ability to present complex data to non-technical stakeholders.
  • Strong problem-solving skills and meticulous attention to detail.

What helps you stand out:
  • A Master's degree in a relevant field.
  • Experience in a fintech or financial services environment.
  • Direct experience with crypto/blockchain analytics.
  • Startup experience is highly preferred.
  • Expertise with data visualization tools like Tableau or Looker.

What We Offer
  • Competitive salary and benefits package.
  • Equity in a rapidly growing company.
  • Opportunity to work in a fast-paced startup at the forefront of fintech innovation.
  • Opportunity to make a significant impact on global financial infrastructure
  • Collaborative work culture with emphasis on personal and professional growth.

We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Apply