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Freelance Data Science Engineer Jobs in Florida (NOW HIRING)

Proficiency with one or more programming languages such as Python, R or Java. * Demonstrated experience applying data science methods to real-world data problems. * Proficiency in Agile Development ...

Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions. Workflow Management * Own delivery outcomes for data science and AI workstreams ...

Proficiency with one or more programming languages such as Python, R or Java. * Demonstrated experience applying data science methods to real-world data problems. * Proficiency in Agile Development ...

CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and ... Serves as a business change agent leading process re-engineering activities/project. * Manages the ...

CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and ... Serves as a business change agent leading process re-engineering activities/project. * Manages the ...

Proficiency with one or more programming languages such as Python, R or Java. * Demonstrated experience applying data science methods to real-world data problems. * Proficiency in Agile Development ...

Bachelor's degree in a quantitative field such as Data Science, Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Physics, Computer Science, Engineering, Economics, or a ...

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Freelance Data Science Engineer information

What is the difference between Freelance Data Science Engineer vs Data Analyst?

AspectFreelance Data Science EngineerData Analyst
CredentialsTypically requires a degree in data science, computer science, or related fields; certifications like Python, R, or cloud platforms are commonUsually holds a degree in statistics, mathematics, or related fields; certifications may include Excel, SQL, or Tableau
Work EnvironmentIndependent, project-based work often remote; collaborates with clients across industriesOften employed within organizations or agencies; may work on ongoing internal projects
Industry UsageCommonly hired for complex data modeling, machine learning, and predictive analytics projectsFocuses on data reporting, visualization, and basic analysis to support business decisions

While both roles involve working with data, Freelance Data Science Engineers typically handle advanced analytics and machine learning projects independently, whereas Data Analysts focus on interpreting data through reports and visualizations within organizations.

What is a freelance data science engineer?

A Freelance Data Science Engineer is a professional who works independently on a contract or project basis to help organizations analyze complex data, build data pipelines, and develop machine learning models. Unlike full-time employees, freelancers typically work with multiple clients, offering their expertise in data wrangling, statistical analysis, and algorithm development as needed. They may assist with everything from data preprocessing to deploying data-driven solutions, often working remotely and with flexible schedules.

What are the key skills and qualifications needed to thrive as a freelance data science engineer, and why are they important?

To thrive as a Freelance Data Science Engineer, you need a solid background in statistics, programming (typically Python or R), and data analysis, often supported by a relevant degree or equivalent experience. Familiarity with machine learning libraries (like TensorFlow or scikit-learn), cloud platforms (such as AWS or GCP), and data visualization tools is highly valuable. Strong communication, project management, and problem-solving skills set top freelancers apart by enabling effective client collaboration and clear presentation of findings. These competencies are crucial for delivering actionable insights, managing diverse projects independently, and building lasting client relationships.

What are some common challenges faced by freelance data science engineers when managing multiple client projects simultaneously?

Freelance data science engineers often juggle several projects at once, which can make time management and prioritization particularly challenging. Balancing diverse client expectations, shifting project scopes, and overlapping deadlines requires strong organizational skills and clear communication. Additionally, freelancers must ensure data security and confidentiality across different clients, adapting to various data infrastructures and collaboration tools. Building a structured workflow and setting realistic timelines are key strategies to handle these challenges effectively.

Can I do freelancing in data science?

Freelance data science engineers can work independently on projects such as data analysis, modeling, and machine learning using tools like Python, R, and SQL. Successful freelancing requires strong technical skills, a portfolio, and the ability to manage client relationships and deadlines.

How much do freelance data science engineers make?

Freelance data science engineers typically earn between $50 and $150 per hour, depending on experience, project complexity, and client budget. Annual income can vary widely, often ranging from $60,000 to over $150,000 for experienced professionals working on high-demand projects. Rates may also be influenced by skills in machine learning, programming languages, and data analysis tools.

Lead AI and Data Science Engineer II (Secret Clearance Required)

Deloitte

Miami, FL • On-site

$109K - $131K/yr

Full-time

Posted 10 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Join Deloitte's Government & Public Services practice and help deliver AI-enabled solutions that support a mission-critical modernization effort. This role will focus on integrating ServiceNow with Google AI platforms to improve and automate the personnel records correction process for soldiers and veterans. As a Senior Consultant, AI & Data, you will help design, build, and deploy application-level Google Cloud and artificial intelligence services while supporting the transition from legacy systems to modern digital workflows. You will also guide junior developers and engineers while helping deliver secure, scalable, production-ready solutions.

Work you'll do

As a Senior Consultant, AI & Data on the Government & Public Services AI & Data team, you will be responsible for...

  • Design, develop, and deploy artificial intelligence and automation capabilities that support digital case intake, records processing, and case review workflows
  • Build and enhance solutions such as intelligent triage, document classification, duplicate case detection, electronic signature workflows, and automated data validation
  • Develop production-ready pipelines, models, and application components using Python and cloud-based services to support secure, scalable delivery
  • Deliver AI capabilities such as optical character recognition, computer vision, case summarization, workflow automation, and content generation for adjudication support
  • Mentor junior developers and engineers, contribute to solution design, and help monitor model performance, quality, and accuracy across deployed capabilities

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
  • 5+ years of experience in data engineering or artificial intelligence development
  • 5+ years of experience architecting and deploying data pipelines, artificial intelligence agents, or machine learning models into production environments
  • Experience designing end-to-end artificial intelligence solutions, including data preprocessing, feature engineering, and cloud-based integration
  • Must be a U.S. citizen and able to obtain and maintain a Secret level security clearance
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Advanced degree in Computer Science, Information Systems, Engineering, or a related field
  • Experience with Google Cloud Platform artificial intelligence and machine learning services and cloud security protocols
  • Experience with natural language processing, computer vision, or optical character recognition solutions
  • Experience with Python data engineering and libraries such as NumPy, Pandas, PyTorch, scikit-learn, or TensorFlow
  • Experience developing automation capabilities for document processing, case summarization, workflow orchestration, or content generation

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join Deloitte's Government & Public Services practice and help deliver AI-enabled solutions that support a mission-critical modernization effort. This role will focus on integrating ServiceNow with Google AI platforms to improve and automate the personnel records correction process for soldiers and veterans. As a Senior Consultant, AI & Data, you will help design, build, and deploy application-level Google Cloud and artificial intelligence services while supporting the transition from legacy systems to modern digital workflows. You will also guide junior developers and engineers while helping deliver secure, scalable, production-ready solutions.

Work you'll do

As a Senior Consultant, AI & Data on the Government & Public Services AI & Data team, you will be responsible for...

  • Design, develop, and deploy artificial intelligence and automation capabilities that support digital case intake, records processing, and case review workflows
  • Build and enhance solutions such as intelligent triage, document classification, duplicate case detection, electronic signature workflows, and automated data validation
  • Develop production-ready pipelines, models, and application components using Python and cloud-based services to support secure, scalable delivery
  • Deliver AI capabilities such as optical character recognition, computer vision, case summarization, workflow automation, and content generation for adjudication support
  • Mentor junior developers and engineers, contribute to solution design, and help monitor model performance, quality, and accuracy across deployed capabilities

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
  • 5+ years of experience in data engineering or artificial intelligence development
  • 5+ years of experience architecting and deploying data pipelines, artificial intelligence agents, or machine learning models into production environments
  • Experience designing end-to-end artificial intelligence solutions, including data preprocessing, feature engineering, and cloud-based integration
  • Must be a U.S. citizen and able to obtain and maintain a Secret level security clearance
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Advanced degree in Computer Science, Information Systems, Engineering, or a related field
  • Experience with Google Cloud Platform artificial intelligence and machine learning services and cloud security protocols
  • Experience with natural language processing, computer vision, or optical character recognition solutions
  • Experience with Python data engineering and libraries such as NumPy, Pandas, PyTorch, scikit-learn, or TensorFlow
  • Experience developing automation capabilities for document processing, case summarization, workflow orchestration, or content generation

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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