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Data Scientist Startup Jobs in Florida (NOW HIRING)

Apex Systems

Data Analyst

Juno Beach, FL · On-site

... startup, and testing. * Work with internal resources and suppliers to determine project priorities and meet milestones. Required Qualifications Education: Bachelor's degree in computer science, data ...

Kforce Technology Staffing

Senior Data Analyst

Juno Beach, FL · On-site

$84K - $106K/yr

... startup, and testing * Works collaboratively with in-house resources and suppliers in various ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics or related education ...

Booz Allen

$61K - $141K/yr

University - 2027 Summer Games Data Scientist Intern - Ft. Walton Beach, FL The Opportunity: The ... Simulating a real-world startup accelerator environment, the interns are divided into teams, each ...

Catalyst Labs

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

Filtrous

Research Scientist

Saint Petersburg, FL · On-site

$90/hr

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 ...

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

Cheez

Product Manager @ Social app startup

Miami, 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

Cheez

Product Manager @ Social app startup

Miami, 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 Scientist Startup JobsData Scientist Startup Jobs in Florida

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 Sep 7, 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 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 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 popular job titles related to Data Scientist Startup jobs in Florida?

For Data Scientist Startup jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Scientist Startup jobs in Florida look for?

The top searched job categories for Data Scientist Startup jobs in Florida are:

Data Scientist Startup jobs near you
Infographic showing various Data Scientist Startup job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

Data Scientist / DataOps Engineer

bit schulungscenter GmbH

Miami, FL • On-site

$150 - $200/hr

Other

Re-posted 3 days ago

Key responsibilities

  • Design, implement, and maintain scalable data pipelines across Azure, AWS, and GCP.

  • Develop and maintain DataOps workflows, integrating with CI/CD pipelines for automation.

  • Build scalable ML/AI pipelines for training, validation, and deployment of models in production environments.

Job description

We are Kmeleon, consulting firm based in Miami, USA, with a dynamic and diverse team spread across the Americas and Europe. We specialize in building cutting‑edge generative AI solutions, empowering forward‑thinking enterprises to stay ahead with the transformative power of AI.

What We’re Looking For:

We’re looking for a Data Scientist / DataOps Engineer with a strong background in cloud‑based data architectures, analytics, and MLOps. You will play a vital role in designing, implementing, and maintaining scalable data solutions across Azure (primarily), AWS, and GCP—powering everything from traditional data pipelines to advanced AI/ML models.

Important:
  • We are hiring for senior roles only.
  • English proficiency at a minimum 7/10 level (spoken and written).
  • 3+ years of professional experience (not apprenticeship).
About the Role:
  • Design and optimize data pipelines on Azure, AWS, and GCP, ensuring efficient ingestion, transformation, and storage of large‑scale datasets.
  • Develop and maintain DataOps workflows, integrating with CI/CD pipelines for end‑to‑end automation of data processes.
  • Build scalable ML/AI pipelines that support training, validation, and deployment of machine learning models in production environments.
  • Collaborate on analytics solutions, assisting in data modeling, statistical analysis, and advanced AI/ML experimentation.
  • Implement robust data security and governance strategies, ensuring compliance with industry standards and best practices.
  • Troubleshoot and optimize performance across various data systems, identifying areas for continuous improvement in our architecture.
What You Bring to the Table:
  • 3+ years of hands‑on experience in DataOps, Data Engineering, or Data Science roles, with a primary focus on Azure services (Azure Data Factory, Azure Synapse, etc.).
  • Working knowledge of AWS (e.g., Glue, Redshift, EMR) and GCP (e.g., BigQuery, Dataflow) is highly desirable.
  • Proficiency in Python for data analysis, ML model development, and scripting.
  • Experience with containerization and orchestration (Kubernetes or similar) to manage scalable data processing and model deployments.
  • A strong foundation in automation and CI/CD principles, particularly in the context of data pipelines.
  • Familiarity with infrastructure as code tools (Terraform, Biceps, ARM templates) to automate provisioning and manage resources.
  • Expertise in SQL and NoSQL databases, with hands‑on experience in designing data warehouses and data lakes.
  • It is a plus Experience with LLM/advanced AI/ML model deployment and tuning for production environments.
Why Join Us?
  • Be at the forefront of the AI revolution by joining a global team that pioneers cutting‑edge data and AI solutions.
  • Competitive compensation that rewards expertise and strong communication skills.
  • Remote‑friendly environment with flexible working hours that accommodate diverse lifestyles.
  • Massive growth potential in an AI‑first startup, offering opportunities to expand into leadership roles.
  • Collaborative culture that values innovation, open communication, and mutual respect—where your ideas and contributions truly matter.
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