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

Cyber Security Project Manager

Tampa, FL · Remote

$101K - $136.50K/yr

Remote Duratio-15-20 hours per week; Key Responsibilities: Lead and manage cybersecurity and data ... Bachelor's degree in Cyber Security, Information Technology, Data Science, or a related field. A ...

Data Engineer

Tampa, FL · Remote

$104.20K - $125.10K/yr

Data Engineer Duration: 12+ Months Contract Location: 100% Remote Role Job Summary • Seeking an ... science, Information Systems, Data Engineering, or a related discipline. • 5+ years of overall ...

GCP Data Engineer

Tampa, FL · Remote

$104.20K - $125.10K/yr

Would love someone in Chicago, would take someone remote. 10+ years experience. Waiting on rate ... Bachelor's degree in Computer Science, Engineering, or a related field. * 8+ years of experience in ...

Azure Data Architect

Tampa, FL · Remote

$57.75 - $75.25/hr

... Remote Multiyear project Architect level Responsibilities: * Design and implement end-to-end data ... Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus.

Work with delivery teams, data science teams, and client stakeholders to troubleshoot issues ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Staff Software Engineer - Data Platform

Tampa, FL · On-site +1

$217.57K - $260K/yr

Bachelor's or Graduate degree in Computer Science, Software Engineering, or a related technical ... Certain roles -- such as field-based sales or other remote-by-design positions -- may have ...

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Remote Data Science information

See Spring Hill, FL salary details

$19.9K

$88.4K

$168.7K

How much do remote data science jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data science in Spring Hill, FL is $88,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,660.00 and $122,607.00 per year, depending on experience, location, and employer.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications 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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Data Science jobs in Spring Hill, FL? The most popular types of Data Science jobs in Spring Hill, FL are:
What are popular job titles related to Remote Data Science jobs in Spring Hill, FL? For Remote Data Science jobs in Spring Hill, FL, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Spring Hill, FL look for? The top searched job categories for Remote Data Science jobs in Spring Hill, FL are:
What cities near Spring Hill, FL are hiring for Remote Data Science jobs? Cities near Spring Hill, FL with the most Remote Data Science job openings:
Cyber Security Project Manager

Cyber Security Project Manager

RIT Solutions, Inc.

Tampa, FL • Remote

$101K - $136.50K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Title-Cyber Security Project Manager
Location-: Remote
Duratio-15-20 hours per week;
Key Responsibilities:
Lead and manage cybersecurity and data classification projects from inception to completion, ensuring timely delivery within scope and budget. Develop project plans, set milestones, and track progress.
Oversee the implementation and management of cybersecurity measures, including risk assessments, vulnerability management, and incident response as they relate to Data Policy and Data Classification.
Collaborate with cross-functional teams, including IT, compliance, and business units, to ensure alignment and address any issues related to data security and policy.
Develop and deliver training programs to educate employees on data security best practices and policies. Foster a culture of security awareness within the organization.
Maintain comprehensive documentation of data policies, procedures, and security measures. Prepare regular reports for senior management and regulatory bodies.
Support change management efforts and drive user adoption.
Qualifications:
Bachelor's degree in Cyber Security, Information Technology, Data Science, or a related field. A Master's degree or relevant certifications (e.g., CISSP, CISM, CISA) is a plus.
Minimum of 7 years of experience in Project Management within cybersecurity with a strong background in the pharmaceutical industry. Proven experience managing projects related to data governance are preferred.
Proficiency in MS Purview, SailPoint, or Varonis is essential. Strong understanding of data security technologies, risk management, and regulatory compliance.
Demonstrated ability to manage complex projects, including planning, execution, and stakeholder management.
Excellent problem-solving abilities with a keen eye for detail and a strong analytical mindset.
Exceptional written and verbal communication skills. Ability to convey complex technical concepts to non-technical stakeholders.
Proven ability to work effectively with cross-functional teams and lead initiatives that involve multiple stakeholders.