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

Data Scientist

Tampa, FL · On-site +1

$110K - $130K/yr

Proven ability to translate complex data science findings into clear, actionable insights for non-technical stakeholders * Strong self-direction and communication skills suited for a remote work ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a Senior Data Scientist, you will leverage ...

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

We are seeking a data science manager to assist us with developing and managing a large repository ... NO OPTION FOR HYBRID OR REMOTE. Doctorate degree in a related field and seven (7) years of related ...

Senior Cloud Data Engineer

Tampa, FL · Remote

$108K - $147K/yr

Work with data scientists and AI specialists to automate model deployment lifecycles (MLOps). Data ... WORK ENVIRONMENT This is a fully remote position requiring reliable high-speed internet access and ...

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

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 ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative ...

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Showing results 1-20

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 Jul 14, 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 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.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

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 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.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
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:
Infographic showing various Remote Data Science job openings in Spring Hill, FL as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $88,396 per year, or $42.5 per hour.
Data Scientist

Data Scientist

ABC Legal Services

Tampa, FL • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About ABC Legal Services

ABC Legal Services is the nation's premier process serving and court filing company, operating across all 50 states. We are a technology-forward legal services company on a mission to make legal processes faster, smarter, and more reliable. Our data and engineering teams are central to that mission — building models and systems that power operations at scale. We're now looking for a Data Scientist with strong ML engineering and MLOps experience to help us take our machine learning capabilities to the next level.

Role Overview

We're seeking a Data Scientist with hands-on experience in machine learning engineering and MLOps. In this role, you'll own the full model lifecycle — from research and experimentation through deployment, monitoring, and iteration. You'll work within our AWS SageMaker Studio environment and collaborate closely with engineering, operations, and product teams to deliver models that drive measurable business outcomes.

Key Responsibilities

  • Develop, train, and evaluate machine learning models to solve business problems across operations, legal services, and marketing
  • Own the full ML lifecycle: data preparation, feature engineering, model training, validation, deployment, and monitoring
  • Build and maintain MLOps pipelines using AWS SageMaker Studio, including experiment tracking, model registry, and automated retraining workflows
  • Partner with product and operations teams to translate business requirements into data science solutions
  • Monitor deployed models in production, identify performance degradation, and drive continuous improvement
  • Document methodologies, model performance benchmarks, and technical decisions for internal knowledge sharing
  • Stay current with advances in ML and data science tooling, and advocate for best practices across the team

Requirements

Required

  • 3+ years of experience in data science or a closely related role, with demonstrated ML engineering and MLOps responsibilities
  • Strong proficiency in Python for data science and ML development (pandas, scikit-learn, PyTorch or TensorFlow)
  • Hands-on experience with AWS SageMaker Studio for model development, training, and deployment
  • Solid understanding of MLOps principles: model versioning, pipeline automation, drift detection, and production monitoring
  • Experience with SQL and working with structured data in cloud data warehouses or relational databases
  • Proven ability to translate complex data science findings into clear, actionable insights for non-technical stakeholders
  • Strong self-direction and communication skills suited for a remote work environment

Nice to Have

  • Experience in the legal, collections, or financial services industry
  • Background in targeted mail marketing, direct mail modeling, or customer segmentation
  • Familiarity with AI coding agents and agentic development workflows (e.g., Claude, Copilot, Cursor, or similar tools)
  • Experience with propensity modeling, uplift modeling, or response prediction
  • Exposure to LLM-based workflows or applied NLP in a production setting
  • Data engineering experience with modern tooling such as Dagster, Airbyte, and dbt
  • Familiarity with AWS data services including Glue, Lambda, Redshift, and Step Functions

Compensation & Benefits

  • Fully remote position with flexible working hours
  • Comprehensive health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and company holidays
  • Opportunity to shape data science strategy at a growing, industry-leading company

Salary Range: $110,000-$130,000 depending on experience