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Remote Data Scientist Jobs in Spring Hill, FL (NOW HIRING)

micro1 AI

Computational Biologist - AI Reviewer

Tampa, FL · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

VetsEZ

Senior .NET Developer (Remote Opportunity)

Tampa, FL · On-site +1

$51.50 - $68/hr

You will collaborate with architects, frontend developers, backend data teams, and QA engineers to ... Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related ...

VetsEZ

Senior .NET Developer (Remote Opportunity)

Tampa, FL · On-site +1

$51.50 - $68/hr

You will collaborate with architects, frontend developers, backend data teams, and QA engineers to ... Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related ...

Breakthru

Category Development Analyst

Tampa, FL · Remote

$60K - $75K/yr

Time Type: Full time Remote Type: Job Family Group: Commercial Summary: The Category Development ... Bachelor's degree in data analysis, data science, business administration, economics, statistics ...

micro1 AI

Bioinformatics Software Engineer

Tampa, FL · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Spring Hill, FL

Remote Data Scientist information

See Spring Hill, FL salary details

$31.8K

$104.1K

$166.7K

How much do remote data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data scientist in Spring Hill, FL is $104,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $115,400.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Spring Hill, FL?

The most popular types of Data Scientist jobs in Spring Hill, FL are:

What job categories do people searching Remote Data Scientist jobs in Spring Hill, FL look for?

The top searched job categories for Remote Data Scientist jobs in Spring Hill, FL are:

What cities near Spring Hill, FL are hiring for Remote Data Scientist jobs?

Cities near Spring Hill, FL with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Spring Hill, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $104,131 per year, or $50.1 per hour.

Senior API Cloud Platform Engineer (Remote Opportunity)

VetsEZ

Tampa, FL • On-site, Remote

$98K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

VetsEZ is currently looking for a Senior API & Cloud Platform Engineer for a 100% remote position supporting a large federal government healthcare modernization project. This role will design, develop, and support the Enterprise Data Access Service (EDAS) and cloud-based integration platform for the Next Generation Toxic Exposure Risk Activity (TERA) Automated Gateway (TAG) initiative supporting the Department of Veterans Affairs (VA). The successful candidate will build secure, scalable APIs and cloud-hosted integration services that enable enterprise VA applications to securely access and consume Department of Defense (DoD) Individual Longitudinal Exposure Record (ILER) data.
Working closely with architects, data engineers, product owners, and enterprise stakeholders, this individual will develop modern cloud-native services and establish integration standards that support enterprise interoperability, scalability, security, and long-term maintainability. The role requires expertise in API development, cloud engineering, Azure services, and secure enterprise integrations.
The candidate must reside within the continental US.
Responsibilities
  • Design, develop, and maintain RESTful APIs supporting the Enterprise Data Access Service (EDAS) and TAG data products.
  • Define and maintain API contracts using OpenAPI (Swagger) specifications while implementing secure, versioned APIs that support enterprise interoperability.
  • Design and develop cloud-hosted application services using Microsoft Azure, including scalable and highly available microservices and API hosting solutions.
  • Implement application monitoring, logging, telemetry, health monitoring, and performance optimization using Azure Monitor and related Azure services.
  • Develop secure integrations with VA Profile, VBMS, Veterans Evaluation Services (VES), and other enterprise systems using modern authentication and authorization mechanisms.
  • Collaborate with architects, engineers, analysts, and stakeholders to support technical design, documentation, code reviews, Agile delivery activities, and enterprise integration planning.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent experience, with 8+ years of software engineering experience designing and developing enterprise applications.
  • 5+ years of experience developing RESTful APIs, enterprise integration services, and cloud-native applications using Microsoft Azure.
  • Strong expertise with REST APIs, OpenAPI (Swagger), JSON, OAuth 2.0, Mutual TLS (mTLS), and secure API design and implementation.
  • Proficiency in C#, Java, or Python, along with experience using Git, Azure DevOps, Azure Monitor, and cloud-based application development practices.
  • Excellent analytical, troubleshooting, and communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
  • Demonstrated experience designing scalable, highly available distributed systems and collaborating effectively within Agile development teams.

Additional Qualifications
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal agencies and integrating healthcare, military personnel, or benefits systems.
  • Microsoft Azure certifications and experience with Azure App Services, Azure Functions, Azure API Management, Azure Service Bus, Event Grid, and related Azure integration technologies are highly desirable.
  • Familiarity with ILER, VA Profile, VBMS, and knowledge of NIST, FISMA, FedRAMP, Zero Trust architecture principles, and DevSecOps practices.

Benefits
  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training Opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Sorry, we are unable to offer sponsorship at this time.

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