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Data Scientist Contract Jobs in Florida (NOW HIRING)

Data Scientist W2 Contract Location: hybrid - 3 days onsite, Orlando, FL Title: Data Scientist Duration: 6 month contract to hire (no sponsorship available) Must have SQL, Snowflake, python, Healt ...

... data contracts, access controls, and evaluation datasets. * Apply data science and analytical ... methods to develop reusable models, reports, dashboards, and decision-support products. * Monitor ...

New

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Scientist

Doral, FL

$112K - $257K/yr

Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking ... as well as contract-specific affordability and organizational requirements. The projected ...

Federal government contract experience * Security clearance or ability to obtain one * Relevant certifications in data science or machine learning Our Equal Employment Opportunity Policy The company ...

Federal government contract experience * Security clearance or ability to obtain one * Relevant certifications in data science or machine learning Our Equal Employment Opportunity Policy The company ...

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking ... as well as contract-specific affordability and organizational requirements. The projected ...

AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch ... This position is contingent upon contract award and available funding. Duties/Responsibilities:

... data contracts, access controls, and evaluation datasets. * Apply data science and analytical ... methods to develop reusable models, reports, dashboards, and decision-support products. * Monitor ...

New

... data contracts, access controls, and evaluation datasets. * Apply data science and analytical ... methods to develop reusable models, reports, dashboards, and decision-support products. * Monitor ...

New

Data Scientist

Tampa, FL · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... as well as contract-specific affordability and organizational requirements. The projected ...

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Data Scientist Contract information

See Florida salary details

$28K

$91.7K

$146.8K

How much do data scientist contract jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data scientist contract 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 is a data scientist contract?

Data Scientist contract jobs are temporary positions where professionals analyze and interpret complex data to help organizations make informed decisions. Unlike full-time roles, contract data scientists are hired for a specific period, often to work on particular projects or to provide specialized expertise. These contracts can range from a few months to a year or more, and may be offered through staffing agencies, consultancies, or directly by companies. Contract roles offer flexibility and exposure to diverse industries, but typically do not include employee benefits such as health insurance or paid time off.

What does a contract data scientist do?

As a contract data scientist, your job is to provide independent support to a client for a freelance project or assignment. In this role, you may analyze a database to obtain useful information, use statistics to interpret the results, help identify trends within the industry, and make recommendations about the best course of action. Contract data scientists often help analyze historical data, build or refine templates and dashboards, assist full-time employees, and use predictive modeling to evaluate future company needs. The length of each contract varies, but it's possible to work with the same company for a year or more.

What are the key skills and qualifications needed to thrive as a contract data scientist, and why are they important?

To thrive as a Data Scientist Contract, you need a strong background in statistics, data analysis, and programming, usually supported by a degree in a quantitative field. Proficiency with tools such as Python, R, SQL, machine learning libraries, and data visualization platforms is typically required, along with knowledge of cloud-based data environments. Excellent problem-solving abilities, adaptability, and strong communication skills help you translate complex data findings into actionable business insights. These skills ensure that contract data scientists can quickly deliver high-impact solutions and integrate seamlessly into diverse project teams.

What are some common challenges faced by data scientists working on a contract basis, and how can they be addressed?

Contract data scientists often face challenges such as quickly adapting to new teams and workflows, managing varying project scopes, and ensuring clear communication with stakeholders who may not have technical backgrounds. To address these, it's important to establish clear objectives and deliverables at the outset, maintain proactive communication, and document work thoroughly. Building strong relationships with both technical and non-technical team members can also help ensure project success and smooth collaboration.

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

AspectData Scientist ContractData Analyst Contract
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; experience with machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization and SQL
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, data visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, government agencies

Data Scientist Contract roles focus on advanced analytics and machine learning, requiring higher-level skills and credentials. Data Analyst Contract positions involve data reporting and visualization, often with less emphasis on predictive modeling. Both roles are common in various industries, but they differ in complexity and scope.

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

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

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

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

What cities in Florida are hiring for Data Scientist Contract jobs?

Cities in Florida with the most Data Scientist Contract job openings:

Infographic showing various Data Scientist Contract job openings in Florida as of August 2026, with employment types broken down into 50% Contract, and 50% Nights. Highlights an 100% In-person job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

Applied Data Scientist

Orlando, FL • On-site, Remote

Professional Staffing Services
Recruiting and Staffing Services • 201 - 500 employees

Contractor

Re-posted 17 days ago


Job description

Applied Data Scientist - Contract to Hire

Location: Florida (Remote but will need to travel to Orlando for your first day, and for occasional meetings and trainings. )

***Also considering candidates in TX, GA, and NC. Must be willing to travel.

Employment Type: Full-Time, Pay: ~ 140K - 185K

Sponsorship: Not Available (Now or in the future)

About The Company

Our client drives innovative, datadriven insights and scalable AI solutions across the entertainment ecosystem. The Data Science team partners with data engineering, marketing, product, and executive teams to transform audience data into actionable strategies and operational products.

A successful Applied Data Scientist thrives on both analytical creativity and production rigor. As a key member of our client's team, you will own endtoend modeling and deployment work-from the conceptual framing of business problems to data ingestion, model development, and reliable production delivery. Your work will directly shape how our company delivers value to clients and internal stakeholders.

Position Summary & Location Requirements

This is a Florida-based role. While the day-to-day work offers remote flexibility, candidates must reside in the state of Florida or reside in GA, TX, and NC and meet the following travel requirements:

  • Day One: Ability to travel to Orlando, FL or the closest office local to your area for your first day/onboarding.
  • Ongoing: Ability to travel to Orlando or closest office local to your area on occasion for collaborative meetings, trainings, and to support business needs.

Key Responsibilities

In this role, you will bridge the gap between business strategy and technical execution. Specifically, you will:

  • Model & Solution Development: Translate ambiguous business questions into structured analytical and ML solutions. Develop, validate, and optimize models impacting forecasting, segmentation, personalization, recommendation, or operational efficiency.
  • Production & MLOps: Build productionready pipelines and deploy models into scalable environments using robust MLOps practices (CI/CD, automated testing, monitoring), ensuring long-term lifecycle maintenance.
  • Collaboration & Communication: Partner cross-functionally to bridge business requirements and technical design. Communicate insights and technical decisions clearly to both technical and nontechnical stakeholders.
  • Documentation & Standards: Document all models, pipelines, and deployment processes comprehensively to ensure maintainability, reproducibility, and knowledge sharing.
  • Innovation: Stay ahead of emerging tools, techniques, and frameworks in ML/AI to influence best practices across the organization.

Core Qualifications

  • Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Professional Experience: 5+ years of industry experience (excluding internships) in data science and machine learning, including proven ownership of model productization, monitoring, and iterative improvement.
  • Core ML Experience: 3+ years of building machine learning models for business applications (outside of academia), with deep expertise in both supervised and unsupervised learning algorithms.
  • Technical Stack:
  • Python: Strong programming skills with hands-on experience building, training, deploying, and monitoring ML models.
  • SQL: 2+ years of experience with database querying, data preparation, and analysis.
  • Data Warehousing: Working knowledge of large-scale platforms (e.g., Snowflake, SQL Server, BigQuery, Redshift).
  • Cloud Platforms: Familiarity with cloud environments (AWS, Azure, or GCP) and designing end-to-end ML pipelines from ingestion to production serving.
  • Execution Skills: Outstanding analytical skills to diagnose and resolve complex system issues, with a proven ability to manage multiple projects and prioritize tasks effectively.

What Sets You Apart (Preferred Qualifications)

  • Advanced Degree: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Domain Expertise: Industry experience in entertainment or e-commerce, including domains such as theme parks, hospitality, live performances, ticketing, or retail marketplaces.
  • Advanced ML Architectures: Hands-on experience designing and deploying recommendation models (collaborative filtering, content-based, transformer-based) or working with data labeling, taxonomy design, and classification frameworks.
  • Generative AI: Familiarity with GenAI techniques, language modeling, or frameworks like AWS Bedrock and Hugging Face.
  • Deep MLOps Tooling: Advanced experience with tools like SageMaker, Lambda, Airflow, or MLflow, and the ability to guide architectural/strategic decisions for ML infrastructure.