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Data Scientist Startup Jobs in Florida (NOW HIRING)

Role Overview We are seeking a talented Data Science & Analytics Lead to build and lead our ... Startup experience is highly preferred. * Expertise with data visualization tools like Tableau or ...

Head of Data

Miami, FL · Remote

$15K - $18K/mo

Education : Bachelor's or Master's degree in Data Science, Computer Science, Statistics ... startup or high-growth setting. Highlight the tools used, the bottlenecks solved, and the ...

Tech Lead, Data & Inference Engineer

Miami, FL · On-site

$109K - $131K/yr

... Science. They are seeking a Tech Lead, Data & Inference Engineer to design, develop, and scale a ... startup (10 to 200 people) or early-stage environment with a strong product mindset. Company

Prepare technical reports, product documentation, and data presentations for internal teams and ... You'll have the freedom to lead projects and make technical decisions in a startup-speed ...

Iru was named to Forbes' America's Best Startup Employers 2025 list for employee engagement and ... for Data Science, Analytics, Finance, Revenue, and our product engineering teams to move fast and ...

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Process analytical data on lab equipment such as HPLC/UPLC, enter data in spreadsheets and conduct ... We are a fast-growing pharmaceutical startup dedicated to innovation and improving patient outcomes.

Process analytical data on lab equipment such as HPLC/UPLC, enter data in spreadsheets and conduct ... We are a fast-growing pharmaceutical startup dedicated to innovation and improving patient outcomes.

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Showing results 1-20

Data Scientist Startup information

See Florida salary details

$28K

$91.7K

$146.8K

How much do data scientist startup jobs pay per year?

As of Aug 4, 2026, the average yearly pay for data scientist startup 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 does a data scientist do at a startup?

A Data Scientist at a startup typically wears many hats, leveraging data to drive business decisions, build predictive models, and develop data-driven products. Unlike in larger companies, startup Data Scientists often work closely with other teams, handle end-to-end data pipelines, and may even take on responsibilities like data engineering or analytics. The fast-paced environment requires adaptability, strong problem-solving skills, and the ability to quickly turn raw data into actionable insights that can have a direct impact on the company's growth.

What is the difference between Data Scientist Startup vs Data Analyst?

AspectData Scientist StartupData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL
Work EnvironmentFast-paced startup setting, cross-functional teams, innovative projectsCorporate or business environment, reporting and visualization tasks
Employer & Industry UsageTech startups, e-commerce, SaaS companiesFinancial firms, marketing agencies, retail companies

In summary, Data Scientist Startup roles focus on advanced analytics, machine learning, and building predictive models, requiring stronger technical skills and often a higher level of education. Data Analysts typically handle data reporting, visualization, and basic analysis, with a focus on interpreting existing data for business insights. Both roles are essential but differ in complexity and scope within startup environments.

What are the key skills and qualifications needed to thrive as a data scientist in a startup?

To thrive as a Data Scientist in a startup, you need a solid foundation in statistics, data analysis, and programming (often Python or R), usually backed by a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning libraries (like scikit-learn, TensorFlow), cloud platforms (such as AWS or GCP), and data visualization tools (such as Tableau or Power BI) is typically required. Strong problem-solving skills, adaptability, and the ability to communicate complex findings to non-technical stakeholders are essential soft skills. These competencies are crucial in a startup environment, where rapid iteration, cross-functional collaboration, and translating data insights into actionable business strategies are key to driving growth and innovation.

What unique challenges might a data scientist face when working at a startup compared to a larger company?

At a startup, Data Scientists often work with limited resources, less historical data, and rapidly changing business priorities. This means you'll likely wear multiple hats—handling data collection, cleaning, modeling, and sometimes even deploying solutions on your own. The pace is fast, and you'll need to adapt quickly to shifting objectives while collaborating closely with engineers, product managers, and founders. However, this environment also offers significant opportunities to make a direct impact and gain broad experience across the data science pipeline.
What cities in Florida are hiring for Data Scientist Startup jobs? Cities in Florida with the most Data Scientist Startup job openings:
Infographic showing various Data Scientist Startup job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% 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 15 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.