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Remote Science Jobs in Homestead, FL (NOW HIRING)

Liberty Mutual

Director, Data Science

Miami, FL · On-site +1

$156K - $281K/yr

Manage and develop a team of data science and advanced analytics staff, driving accurate risk classification in pricing across three lines of business. Apply broad knowledge of sophisticated ...

New

Booz Allen Hamilton, Inc.

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

Remote Work: No Job Number: R0245993 Location: Doral,FL,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a ...

micro1 AI

Physics Modeling Expert - Remote

Miami, FL · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your ...

micro1 AI

Senior Scientific Reviewer - Physics

Miami, FL · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

Danaher

IT Project Manager - Remote

Miami, FL · On-site +1

$120K - $160K/yr

Are you ready to accelerate your potential and make a real difference within life sciences ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

YO AI Labs

Pharmacovigilance Expert - Remote

Miami, FL · Remote

$70 - $80/hr

Remote Job Overview We are seeking experienced Pharmacovigilance Experts to contribute their drug ... Advanced degree in life sciences, pharmacy, nursing, medicine, or related fields (PharmD, MD, MSc ...

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Showing results 21-40

All JobsScience JobsRemote Science JobsRemote Science Jobs in Homestead, FL

Remote Science information

See Homestead, FL salary details

$22.5K

$44.5K

$72.6K

How much do remote science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote science in Homestead, FL is $44,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,400.00 and $47,800.00 per year, depending on experience, location, and employer.

What is remote science?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

What skills and qualifications are needed to thrive as a remote science professional?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

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

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What remote science jobs are there?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and scientific writers. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, and may involve collaboration through digital communication tools.

What are the most commonly searched types of Science jobs in Homestead, FL?

The most popular types of Science jobs in Homestead, FL are:

What job categories do people searching Remote Science jobs in Homestead, FL look for?

The top searched job categories for Remote Science jobs in Homestead, FL are:

What cities near Homestead, FL are hiring for Remote Science jobs?

Cities near Homestead, FL with the most Remote Science job openings:

Remote Science jobs near you
Infographic showing various Remote Science job openings in Homestead, FL as of August 2026, with employment types broken down into 4% Internship, 82% Full Time, 12% Part Time, and 2% Contract. Highlights an 100% Remote job distribution, with an average salary of $44,456 per year, or $21.4 per hour.

Director, Data Science

Liberty Mutual

Miami, FL • On-site, Remote

$156K - $281K/yr

Full-time

Posted yesterday

New

Liberty Mutual rating

8.8

Company rating: 8.8 out of 10

Based on 161 frontline employees who took The Breakroom Quiz

47th of 310 rated insurance

Job description


Description
Duties:  
Manage and develop a team of data science and advanced analytics staff, driving accurate risk classification in pricing across three lines of business. 
Apply broad knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. 
Drive innovation in the application and development of tools and practices. 
Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions. 
Identify and tests hypotheses, ensuring statistical significance, and build highly complex, technical and creative predictive analytics for business applications. 
Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. 
Enable the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. 
Guide aspects of project design as a technical consultant for the team. 
Customizes analytic solutions to specific stakeholder needs. 
Regularly engage with the data science community and leads cross functional working groups. 
 
Position requires domestic (U.S.) travel up to 5% 
Telecommuting permitted up to 100%  
Requirements:  
Employer will accept a Bachelor’s degree (or foreign equivalent) in Actuarial Science, Statistics or related field and 10 years of experience in the job offered or in a Director II, Data Science-related occupation.
Position requires demonstrable experience with the following: 
P&C insurance domain expertise includes deep knowledge of exposure, premium and loss data, classification plans, state- and plan-level rate setting, and actuarial principles including credibility, loss development, trend analysis, experience rating and ratemaking.
Develop, validate and deploy pricing models including GLMs and gradient-boosted models and diagnose model performance across lines of business and products
Own the full modeling lifecycle including data procurement, feature engineering, model selection, cross-validation, back-testing, calibration, monitoring, and model retraining.
Technical proficiency with modeling tools and languages, requiring experience in at least two tools, including Python or Emblem, and additional proficiency in at least one of SAS or R. 
Experience with large-scale data wrangling and evaluation and selection of appropriate internal toolsets. 
Measure and improve pricing effectiveness including quantifying current pricing, identifying gaps, recommending pricing and model changes, define KPIs tied to underwriting profitability, and perform cost-benefit analyses to inform business decisions. 
Lead and develop team members including hiring, mentorship, individualized development planning, performance management, code and research review, and guidance on model design and tool selection. 
Project and stakeholder management including scope and prioritize work, estimate effort, assign resources, balance planned versus ad-hoc requests, evaluate new requests, negotiate timelines and replan deliverables. 
Cross-functional partnership and influence including work with product-line, state management, underwriting, IT and compliance and build business cases, advocate the pricing roadmap and support multi-state implementation and adoption. 
Governance and quality controls including maintaining audit-ready documentation, reproducible code, validation artifacts and versioning; ensure regulatory, privacy, fairness and transparency compliance; and promote testing, peer review, and continuous improvement.
Experience may be gained during graduate program. Will accept any suitable combination of education, training, and/or experience. Multiple Positions Available. 
 
 
REFER TO: To apply, please visit https://jobs.libertymutualgroup.com/, select “Search Jobs,” enter job requisition #2026-XXXXX in the “Job ID or Keywords” field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail.  
Qualifications
Duties:  
Manage and develop a team of data science and advanced analytics staff, driving accurate risk classification in pricing across three lines of business. 
Apply broad knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. 
Drive innovation in the application and development of tools and practices. 
Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions. 
Identify and tests hypotheses, ensuring statistical significance, and build highly complex, technical and creative predictive analytics for business applications. 
Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. 
Enable the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. 
Guide aspects of project design as a technical consultant for the team. 
Customizes analytic solutions to specific stakeholder needs. 
Regularly engage with the data science community and leads cross functional working groups. 
 
Position requires domestic (U.S.) travel up to 5% 
Telecommuting permitted up to 100%  
Requirements:  
Employer will accept a Bachelor’s degree (or foreign equivalent) in Actuarial Science, Statistics or related field and 10 years of experience in the job offered or in a Director II, Data Science-related occupation.
Position requires demonstrable experience with the following: 
P&C insurance domain expertise includes deep knowledge of exposure, premium and loss data, classification plans, state- and plan-level rate setting, and actuarial principles including credibility, loss development, trend analysis, experience rating and ratemaking.
Develop, validate and deploy pricing models including GLMs and gradient-boosted models and diagnose model performance across lines of business and products
Own the full modeling lifecycle including data procurement, feature engineering, model selection, cross-validation, back-testing, calibration, monitoring, and model retraining.
Technical proficiency with modeling tools and languages, requiring experience in at least two tools, including Python or Emblem, and additional proficiency in at least one of SAS or R. 
Experience with large-scale data wrangling and evaluation and selection of appropriate internal toolsets. 
Measure and improve pricing effectiveness including quantifying current pricing, identifying gaps, recommending pricing and model changes, define KPIs tied to underwriting profitability, and perform cost-benefit analyses to inform business decisions. 
Lead and develop team members including hiring, mentorship, individualized development planning, performance management, code and research review, and guidance on model design and tool selection. 
Project and stakeholder management including scope and prioritize work, estimate effort, assign resources, balance planned versus ad-hoc requests, evaluate new requests, negotiate timelines and replan deliverables. 
Cross-functional partnership and influence including work with product-line, state management, underwriting, IT and compliance and build business cases, advocate the pricing roadmap and support multi-state implementation and adoption. 
Governance and quality controls including maintaining audit-ready documentation, reproducible code, validation artifacts and versioning; ensure regulatory, privacy, fairness and transparency compliance; and promote testing, peer review, and continuous improvement.
Experience may be gained during graduate program. Will accept any suitable combination of education, training, and/or experience. Multiple Positions Available. 
 
 
REFER TO: To apply, please visit https://jobs.libertymutualgroup.com/, select “Search Jobs,” enter job requisition #2026-XXXXX in the “Job ID or Keywords” field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail.  
About Us
Duties:  
Manage and develop a team of data science and advanced analytics staff, driving accurate risk classification in pricing across three lines of business. 
Apply broad knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. 
Drive innovation in the application and development of tools and practices. 
Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions. 
Identify and tests hypotheses, ensuring statistical significance, and build highly complex, technical and creative predictive analytics for business applications. 
Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. 
Enable the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. 
Guide aspects of project design as a technical consultant for the team. 
Customizes analytic solutions to specific stakeholder needs. 
Regularly engage with the data science community and leads cross functional working groups. 
 
Position requires domestic (U.S.) travel up to 5% 
Telecommuting permitted up to 100%  
Requirements:  
Employer will accept a Bachelor’s degree (or foreign equivalent) in Actuarial Science, Statistics or related field and 10 years of experience in the job offered or in a Director II, Data Science-related occupation.
Position requires demonstrable experience with the following: 
P&C insurance domain expertise includes deep knowledge of exposure, premium and loss data, classification plans, state- and plan-level rate setting, and actuarial principles including credibility, loss development, trend analysis, experience rating and ratemaking.
Develop, validate and deploy pricing models including GLMs and gradient-boosted models and diagnose model performance across lines of business and products
Own the full modeling lifecycle including data procurement, feature engineering, model selection, cross-validation, back-testing, calibration, monitoring, and model retraining.
Technical proficiency with modeling tools and languages, requiring experience in at least two tools, including Python or Emblem, and additional proficiency in at least one of SAS or R. 
Experience with large-scale data wrangling and evaluation and selection of appropriate internal toolsets. 
Measure and improve pricing effectiveness including quantifying current pricing, identifying gaps, recommending pricing and model changes, define KPIs tied to underwriting profitability, and perform cost-benefit analyses to inform business decisions. 
Lead and develop team members including hiring, mentorship, individualized development planning, performance management, code and research review, and guidance on model design and tool selection. 
Project and stakeholder management including scope and prioritize work, estimate effort, assign resources, balance planned versus ad-hoc requests, evaluate new requests, negotiate timelines and replan deliverables. 
Cross-functional partnership and influence including work with product-line, state management, underwriting, IT and compliance and build business cases, advocate the pricing roadmap and support multi-state implementation and adoption. 
Governance and quality controls including maintaining audit-ready documentation, reproducible code, validation artifacts and versioning; ensure regulatory, privacy, fairness and transparency compliance; and promote testing, peer review, and continuous improvement.
Experience may be gained during graduate program. Will accept any suitable combination of education, training, and/or experience. Multiple Positions Available. 
 
 
REFER TO: To apply, please visit https://jobs.libertymutualgroup.com/, select “Search Jobs,” enter job requisition #2026-XXXXX in the “Job ID or Keywords” field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail.  

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About Liberty Mutual

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Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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