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Data Science Startup 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 ... Startup experience is highly preferred. * Expertise with data visualization tools like Tableau or ...

Iru

Manager, Data Engineering

Miami, FL · On-site

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 ...

LeadingResponse

Senior Product Manager

Tampa, FL · Hybrid

$119K - $157K/yr

... latitude of a startup founder -- backed by an established brand and rich proprietary data ... We deliver measurable results for our clients through a powerful mix of data science, digital ...

RME MASTER

Senior Product Manager

Tampa, FL · On-site

$119K - $157K/yr

... latitude of a startup founder - backed by an established brand and rich proprietary data ... We deliver measurable results for our clients through a powerful mix of data science, digital ...

Cheez

Product Manager @ Social app startup

Tampa, FL · On-site

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

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All JobsData Science Startup JobsData Science Startup Jobs in Florida

Data Science Startup information

See Florida salary details

$18.7K

$89.9K

$167.7K

How much do data science startup jobs pay per year?

As of Jul 3, 2026, the average yearly pay for data science startup in Florida is $89,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,804.00 and $125,065.00 per year, depending on experience, location, and employer.

What is a Data Science Startup job?

A Data Science Startup job involves working at an early-stage company that leverages data science to build innovative products or services. Employees typically wear multiple hats, working on data analysis, machine learning models, data pipelines, and sometimes even product or business strategy. The role often requires strong programming skills (Python, SQL), statistical knowledge, and the ability to work in a fast-paced, evolving environment. Since startups have limited resources, adaptability, problem-solving skills, and a willingness to experiment are crucial. It’s a great opportunity to gain diverse experience and make a significant impact in shaping a company's data strategy.

What are the typical challenges faced when working at a data science startup?

Working at a data science startup often involves managing ambiguity, adapting to frequently changing priorities, and balancing multiple roles due to lean team structures. You may be responsible for the entire data pipeline—from data collection and cleaning to building models and presenting findings—making flexibility and resourcefulness essential. Tight project timelines, evolving business goals, and limited initial resources can also be common, so being proactive and self-motivated helps you thrive. On the positive side, these challenges offer significant opportunities to learn rapidly, take ownership of impactful projects, and shape both the company's products and your own career trajectory.

What are the key skills and qualifications needed to thrive in the Data Science Startup position, and why are they important?

To thrive in a Data Science Startup, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid understanding of statistics and machine learning. Familiarity with data visualization tools, cloud platforms, and relevant certifications such as Certified Data Scientist or AWS Certified Data Analytics are highly valued. Adaptability, creative problem-solving, and effective communication are key soft skills that set standout professionals apart in this environment. These skills are vital for driving innovation, efficiently handling rapidly changing projects, and collaborating in a fast-paced, entrepreneurial setting.

What are the most commonly searched types of Data Science Startup jobs in Florida? The most popular types of Data Science Startup jobs in Florida are:
What are popular job titles related to Data Science Startup jobs in Florida? For Data Science Startup jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Science Startup jobs in Florida look for? The top searched job categories for Data Science Startup jobs in Florida are:
What cities in Florida are hiring for Data Science Startup jobs? Cities in Florida with the most Data Science Startup job openings:
Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in Florida as of June 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $89,921 per year, or $43.2 per hour.

Data Science & Analytics Lead

OpenFX

Miami, FL • On-site

Full-time

Posted 13 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.

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