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Data Science Associate Jobs in Florida (NOW HIRING)

Data Scientist

Tampa, FL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations ... AWS Certified Machine Learning - Specialty, Microsoft Azure AI Engineer Associate, or similar cloud ...

Data Scientist

Tampa, FL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations ... AWS Certified Machine Learning - Specialty, Microsoft Azure AI Engineer Associate, or similar cloud ...

Data Scientist

Tampa, FL · On-site

$120 - $190/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master\'s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ... AWS Certified Machine Learning - Specialty, Microsoft Azure AI Engineer Associate, or similar cloud ...

... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ... science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL ...

Showing results 41-60

Data Science Associate information

See Florida salary details

$43K

$50.8K

$96.4K

How much do data science associate jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science associate in Florida is $50,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,100.00 and $44,500.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in Florida?

The most popular types of Data Science jobs in Florida are:

What are popular job titles related to Data Science Associate jobs in Florida?

For Data Science Associate jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Science Associate jobs in Florida look for?

The top searched job categories for Data Science Associate jobs in Florida are:

What cities in Florida are hiring for Data Science Associate jobs?

Cities in Florida with the most Data Science Associate job openings:

Infographic showing various Data Science Associate job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $50,845 per year, or $24.4 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Graham Technologies is seeking a highly skilled Data Scientist to develop advanced machine learning, predictive analytics, and artificial intelligence solutions that enhance logistics planning, sustainment operations, and enterprise decision-making. This role focuses on building scalable analytics solutions, predictive models, and interactive business intelligence capabilities that enable data-driven decision-making within a complex, mission-focused environment.

LocationTampa, Florida

Responsibilities

  • Develop, validate, deploy, and maintain machine learning and predictive analytics models supporting logistics and sustainment operations.
  • Build demand forecasting models utilizing statistical techniques including time-series analysis, ARIMA, and exponential smoothing.
  • Develop machine learning models using algorithms such as Random Forest, Gradient Boosting, XGBoost, and reinforcement learning techniques.
  • Design and implement anomaly detection models utilizing clustering algorithms, DBSCAN, autoencoders, and other unsupervised learning methods.
  • Develop inventory optimization and resource allocation models utilizing statistical analysis and optimization techniques.
  • Analyze structured and unstructured enterprise datasets to identify trends, patterns, and operational risks.
  • Perform data preparation, feature engineering, and model validation to improve predictive performance.
  • Collaborate with Data Engineers to optimize enterprise data pipelines and cloud-based analytics environments.
  • Develop executive dashboards, operational scorecards, and interactive visualizations using Power BI, Tableau, Qlik, or similar business intelligence platforms.
  • Present analytical findings and recommendations to technical teams, program leadership, and Government stakeholders.
  • Develop technical documentation including model specifications, analytical methodologies, user guides, and standard operating procedures.
  • Conduct knowledge transfer sessions and provide training to Government personnel on analytical models and business intelligence tools.
  • Monitor model performance and continuously improve deployed AI/ML solutions.
  • Support Agile software development activities including sprint planning, backlog refinement, demonstrations, and peer reviews.
  • Collaborate across multidisciplinary teams to deliver enterprise analytics solutions supporting mission objectives.
Required Qualifications
  • Active Top Secret with the ability to attain a SCI.
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline.
  • Minimum five (5) years of professional experience developing predictive analytics, machine learning, or artificial intelligence solutions.
  • Strong programming experience using Python.
  • Experience using R for statistical analysis.
  • Experience developing and deploying machine learning models.
  • Experience using TensorFlow, PyTorch, or similar machine learning frameworks.
  • Experience with predictive analytics and statistical modeling.
  • Experience analyzing large, complex enterprise datasets.
  • Experience with SQL and relational databases.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent written, verbal, and presentation skills.
Preferred Qualifications
  • Experience supporting Department of Defense or Federal Government programs.
  • Experience supporting logistics, supply chain, sustainment, readiness, or operational analytics.
  • Experience with Databricks and Apache Spark.
  • Experience with cloud-based AI/ML environments in AWS or Azure.
  • Experience developing executive dashboards and business intelligence solutions.
  • Experience with optimization algorithms, linear programming, or supply chain modeling.
  • Experience with geospatial analytics or operational planning tools.
  • AWS Certified Machine Learning - Specialty, Microsoft Azure AI Engineer Associate, or similar cloud certification.
  • Security+ or other DoD 8570/8140 certification.
Compensation

At Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to ensure fair pay for work, reflecting our commitment to integrity.

Many IT companies offer similar services, but what truly sets us apart is our people! We care deeply about our employees and consistently show our appreciation-not just for the final outcomes, but also for the effort and dedication shown every step of the way. Additionally, our generous benefits package supports our team members in living fulfilling and prosperous lives.

Here are just a few highlights of what we offer:

  • Four Weeks of Accrued PTO in the First Year
  • Eleven Paid Federal Holidays
  • Comprehensive Health, Dental, Vision, and Life Insurance
  • 401(k) Plan with Annual Employer Contributions
  • Flexible Schedules
  • Reimbursements for Continued Education and Training

Why Graham Technologies?

Our core values define who we are:

  • Value our Customers
  • Care about our Employees
  • Passionate about Innovation
  • Believe in a Strong Work Ethic
  • Rely on Teamwork
  • Integrity Matters

Founded in 2007, GTech is a consulting services firm passionate about delivering tailored solutions that meet our clients' needs and maximize the value of their investments. We achieve this by providing top-notch professionals across the IT industry. Our team embodies integrity, commitment, and reliability, which are at the heart of everything we do.

We are also dedicated to fostering a culture of support for our employees-the lifeblood of our business. At Graham Technologies, we've built a family-oriented environment where team members are encouraged to maintain a healthy work-life balance, pursue their passions, and grow professionally through flexible schedules, continued education, and a strong sense of community.