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Data Science And 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 · On-site

... graph analytics, and visualization techniques to solve analytical problems with incomplete data ... science microservices and analytical applications • Conduct data analysis to support project ...

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

$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 And Analytics JobsData Science And Analytics Jobs in Florida

Data Science And Analytics information

See Florida salary details

$28K

$91.7K

$146.8K

How much do data science and analytics jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data science and analytics in Florida is $91,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $101,600.00 per year, depending on experience, location, and employer.

What work can I do with data science?

Data science and analytics professionals analyze data to uncover insights, build predictive models, and support decision-making across various industries. They work with tools like Python, R, and SQL, and often need skills in statistics, data visualization, and machine learning to perform tasks such as data cleaning, reporting, and developing algorithms.

Is 40 too late for data science?

Data science and analytics roles value skills and experience over age; many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, and understanding data tools, can help offset age concerns. Continuous learning and relevant certifications can improve job prospects regardless of age.

What are data science and analytics jobs?

Data science and analytics jobs involve analyzing large datasets to extract insights, support decision-making, and solve business problems. These roles typically require skills in programming, statistics, and tools like Python, R, or SQL, and often involve creating reports or predictive models. Professionals in these fields work in various industries such as finance, healthcare, and technology, with responsibilities that include data cleaning, visualization, and modeling.

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

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What are Data Science and Analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What can I do with a data science and analytics degree?

A data science and analytics degree prepares individuals for roles such as data analyst, data scientist, business intelligence analyst, or machine learning engineer. Graduates can work in industries like finance, healthcare, marketing, and technology, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.
What cities in Florida are hiring for Data Science And Analytics jobs? Cities in Florida with the most Data Science And Analytics job openings:
Data Science And Analytics jobs near you
Infographic showing various Data Science And 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 $91,721 per year, or $44.1 per hour.

Data Science & Analytics Lead

OpenFX

Miami, FL • On-site

Full-time

Re-posted 9 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