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Remote Data Science Jobs in Florida (NOW HIRING)

Data Engineer

Fort Walton Beach, FL · Remote

$79K - $134K/yr

Work with data scientists to develop and deploy data-driven products and features * Identify and ... Experience with agile development methodologies such as Scrum or Kanban #LI-DM2 #LI-Remote Pay ...

Data Engineer

Fort Walton Beach, FL · Remote

$79K - $134K/yr

Work with data scientists to develop and deploy data-driven products and features * Identify and ... Experience with agile development methodologies such as Scrum or Kanban #LI-DM2 #LI-Remote Pay ...

Decision Science Analyst Senior

Tampa, FL · On-site +1

$83K - $110K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data). * Identifies ...

Decision Science Analyst Senior

Tampa, FL · On-site +1

$83K - $110K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data). * Identifies ...

Data Engineer, Senior

Tampa, FL · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247170 Location: Tampa,FL,US Share job via: Share Data Engineer ... You Have: * 5+ years of experience in application development, data engineering, or data science ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Showing results 41-60

Remote Data Science information

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 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 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.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

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 cities in Florida are hiring for Remote Data Science jobs?

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

Infographic showing various Remote Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Manager of Data Engineering

Suncoast Credit Union Careers

Tampa, FL • On-site, Remote

$105K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Key responsibilities

  • Manage the daily operations of the data engineering team, fostering a culture of innovation, collaboration, and continuous improvement.

  • Manage the Credit Union's data infrastructure to develop operational data pipelines.

  • Supervise the design and development of ETL processes for extracting data from multiple source systems, transforming it, and loading it into data platforms.


Job description

Overview

Compensation: $105,000 - $150,000 annually based on experience and credentials

Location Type: Remote (candidate must reside in FL)Position Type: Full Time

The Data Engineering Manager will oversee the credit union's data engineering team, ensuring the design, evaluation, and testing of robust data infrastructures. This role involves managing the daily operations of the data engineering team, coordinating with various departments to meet data needs, and implementing best practices for data management and infrastructure. The manager will foster a culture of innovation, collaboration, and continuous improvement within the team to support the organization's strategic goals. Additionally, the manager will assign work and delegate responsibilities to staff, monitoring progress to ensure goals are met and high-quality member service is maintained.

Responsibilities
  • Manage the daily operations of the data engineering team, fostering a culture of innovation, collaboration, and continuous improvement.
  • Manages the Credit Union's data infrastructure to develop operational data pipelines 
  • Guide the team in utilizing Azure Data Factory to create pipelines, tuning databases and ETL for maximum performance, performing data profiling, cleansing, and auditing, architecting advanced data solution
  • Supervise the design and development of ETL processes for extracting data from multiple source systems, transforming it, and loading it into data platforms
  • Leverages the Agile framework to prioritize and complete ad hoc and department-related tasks
  • Leverage existing data infrastructure to fulfill data-related requests, perform data housekeeping,cleansing, normalization, hashing, and implement required data model changes
  • Oversee the deployment of data architectures based on standards set by the manager to drive Suncoast's data strategy and transform business strategies into information architectures.
  • Provides technical assistance to end-users and technical staff regarding system and reporting issues.
  • Inform end-users and technical support staff on data warehouse applications and reporting services.
  • Review and recommend new methods or procedures to make daily operations more efficient
  • Perform considerable short-term planning, scheduling, and coordinating to develop and implement business objectives
  • Set goals for assigned teams to achieve operational and strategic results
  • Provide guidance, mentoring, and development opportunities for directly reporting staff
  • Cultivate strong working relationships, build trust among team members, and respond appropriately to employees' concerns
  • Assist with the development, monitoring, and maintenance of the annual budget
  • Assist with regulatory compliance to ensure work is completed in accordance with applicable laws and government regulations
  • Maintain knowledge and understanding of current trends, laws, and issues affecting area of expertise
  • Attend educational events to increase professional knowledge
  • Complete annual compliance and info security training to understand employees' role in maintaining effective compliance and security programs
Qualifications
  • Bachelor's degree in computer science, data science, information technology, information systems, engineering, mathematics or a related field required.
  • 5 or more years progressively responsible experience in data engineering, preferably with a financial institution. Previous supervisory experience required.
  • Advanced technical skills including SQL DW, SSRS, PowerBI, and other data visualization software knowledge required. 
  • Proficient knowledge of Azure or Apache Spark required
  • Proficiency in SQL, Python, Delta Lake, Azure Data Factory, and other relevant technologies
  • Skills in using Databricks Unity Catalog for data management and proficiency in writing and managing Databricks notebooks
  • A solid understanding of Blob / Data Lake Storage.
  • Excellent organization, prioritization and analytical skills to effectively manage areas of responsibility and attain organizational goals
  • Excellent written, verbal, and interpersonal communication skills to interact effectively with members, staff, vendors, and government regulators
  • Ability to analyze and resolve complex problems or situations
  • Ability to positively influence others regarding policies, practices, and procedures
  • Strong knowledge and understanding of credit union products, services, policies, and procedures preferred
  • Strong knowledge and understanding of regulatory compliance
  • Strong knowledge and understanding of credit union computer systems and software applications required to perform job duties preferred

Benefits

  • Financial Well-Being: Bonus Program up to 18%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts
  • Wellness: Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage
  • Work-Life Balance: 11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO
  • Community Involvement: Paid Volunteer Hours
  • Growth: Degree Assistance up to $5,000 per year

For more information, including additional benefits, please visit our benefits website at https://careers.suncoastcreditunion.com/benefits

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community. For more information, please visit our careers site at https://careers.suncoastcreditunion.com/

Employment Type: FULL_TIME