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Environmental Data Science Jobs in Florida (NOW HIRING)

Proven ability to lead and deliver transformative data science and analytics solutions in mission-critical environments. Qualifications Required Education and Years of Experience: * Bachelors degree ...

Apply data science and analytical methods to develop reusable models, reports, dashboards, and ... ABOUT THE WORK ENVIRONMENT This role is in office at our corporate headquarters in the Brickell ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining ...

... flexible environment that helps them succeed both at work and at home. Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining ...

The data science intern will help drive proactive and predictive insights that inform strategic ... environment. Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... environment. Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... environment. Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... environment. Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... environment. Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... environment. Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... environment. Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... environment. Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min ...

New

Proven ability to lead and deliver transformative data science and analytics solutions in mission-critical environments. Qualifications Required Education and Years of Experience: * Bachelors degree ...

The data science intern will help drive proactive and predictive insights that inform strategic ... environment. Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... environment. Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min ...

New

Data Scientist

Miami, FL ยท On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Ability to manage multiple projects and work in a fast-paced environment What do we offer?

Data Scientist

Miami, FL ยท On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Ability to manage multiple projects and work in a fast-paced environment What do we offer?

Showing results 41-60

Environmental Data Science information

See Florida salary details

$28K

$91.7K

$146.8K

How much do environmental data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for environmental data science in Florida is $91,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $101,600.00 per year, depending on experience, location, and employer.

What is environmental data science?

Environmental Data Science is an interdisciplinary field that uses statistical, computational, and analytical techniques to collect, analyze, and interpret large sets of data related to the environment. Professionals in this field work on issues like climate change, pollution, biodiversity, and natural resource management by extracting meaningful insights from complex environmental datasets. Their work supports decision-making for policy, conservation, and sustainability initiatives. Environmental data scientists often collaborate with ecologists, geographers, and policymakers to address environmental challenges using data-driven approaches.

What are some common challenges faced by environmental data scientists when working with real-world datasets?

Environmental data scientists often encounter challenges such as incomplete or inconsistent data, varying data formats, and the need to integrate information from multiple sources like sensors, satellites, and field observations. Addressing missing values, data quality issues, and ensuring proper geospatial alignment can be time-consuming but is essential for producing reliable analyses. Collaboration with domain experts and stakeholders is frequently required to interpret findings and ensure that the results are actionable for environmental policy or management decisions.

What are the key skills and qualifications needed to thrive as an environmental data scientist, and why are they important?

To thrive as an Environmental Data Scientist, you need strong quantitative skills, expertise in environmental science, and a relevant degree in data science, statistics, or a related field. Familiarity with data analysis tools such as Python, R, GIS software, and experience with large datasets or machine learning techniques is typical. Exceptional problem-solving abilities, communication skills, and attention to detail set top performers apart in this field. These competencies are crucial for effectively interpreting complex environmental data, informing policy, and driving impactful sustainability initiatives.

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

AspectEnvironmental Data ScienceEnvironmental Data Analyst
Required CredentialsTypically requires a degree in data science, environmental science, or related fields; often includes programming and statistical certificationsUsually requires a degree in environmental science, geography, or related fields; may include basic data analysis certifications
Work EnvironmentResearch labs, data centers, environmental agencies, or consulting firmsEnvironmental agencies, research organizations, or consulting firms
Employer & Industry UsageUsed in environmental research, climate modeling, and policy analysisUsed in environmental monitoring, reporting, and data interpretation

Environmental Data Science focuses on developing models and algorithms to analyze complex environmental data, often requiring advanced programming skills. In contrast, Environmental Data Analysts primarily interpret and visualize environmental data to support decision-making. Both roles are vital but differ in technical depth and scope.

Is environmental data science a good major?

Environmental Data Science is a relevant major for careers involving analyzing environmental data, modeling ecological systems, and supporting sustainability efforts. It typically combines skills in data analysis, programming, and environmental science, preparing graduates for roles in research, consulting, or government agencies.

What does an environmental data scientist do?

An environmental data scientist analyzes environmental data to identify patterns, assess environmental risks, and support decision-making. They use statistical tools, programming languages like Python or R, and GIS software to interpret large datasets related to climate, pollution, and natural resources.

What are popular job titles related to Environmental Data Science jobs in Florida?

For Environmental Data Science jobs in Florida, the most frequently searched job titles are:

Infographic showing various Environmental 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, with an average salary of $91,721 per year, or $44.1 per hour.

Sr. Director, Data Science & AI, Orthopedics

Jj

Palm Beach Gardens, FL โ€ข On-site

Full-time

Retirement, PTO

Re-posted 22 days ago


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science Portfolio Management

Job Category:

Professional

All Job Posting Locations:

Palm Beach Gardens, Florida, United States of America, Raritan, New Jersey, United States of America, Raynham, Massachusetts, United States of America, Warsaw, Indiana, United States of America, West Chester, Pennsylvania, United States of America

Job Description:

DePuy Synthes is recruiting for a(n) Sr. Director, Data Science & AI.

Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone Orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals. Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes, and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.

About DePuy Synthes

DePuy Synthes is a global leader in Orthopaedics, advancing patient care through innovative solutions across joint reconstruction, trauma, spine, sports medicine, and related surgical technologies. As DePuy Synthes separates from Johnson & Johnson to become the world's largest, most comprehensive Orthopaedics-focused company, the organization is entering a defining chapter-establishing its own corporate identity, voice, culture, and reputation while continuing to serve patients, customers, and healthcare systems around the world.

Job Overview

The Sr. Director, Data Science & AI provides strategic and operational leadership for enterprisewide data science and artificial intelligence capabilities supporting DePuy Synthes. This role is accountable for shaping and executing the Data & AI strategy, translating business priorities into scalable analytics and AI solutions, and enabling datadriven decisionmaking across the organization. The role partners closely with business, technology, and clinical stakeholders to deliver measurable impact, accelerate innovation, and ensure responsible, compliant use of data and AI technologies, and reports into the DePuy Synthes Technology organization.

Johnson & Johnson announced plans to separate our Orthopedics business toestablisha standalone orthopedics company, operatingasDePuy Synthes. The process of the planned separation isanticipatedto be completed within 18 to24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may berequired, regulatory approvals and other customary conditions and approvals. Should you accept this position, it isanticipatedthat, following conclusion of the transaction, you would be an employee of DePuySynthesand your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes atan appropriate timeand subject to any necessary consultation processes.

Job Overview

The Sr. Director, Data Science & AI provides strategic and operational leadership forenterprisewidedata science and artificial intelligence capabilities supporting DePuy Synthes.Reporting to the Chief Data and AI officer this role will shape and lead the enterprise Data Science and AI organization; defining the strategy, standing up the AI Hub, setting the technical standards and building the team that delivers AI at scale across R&D ,Supply Chain, Manufacturing, Quality, Commercial and Corporate functions.

The successful candidate is ahands ontechnologist and strategist in equal measure; able to lay out a multi-year AI strategy for executive audience, evaluate architecture and models, establish governance and standards the make AI safe and defensible in a regulated MedTech environment and lead delivery through global operating model in close proximitywith globalcapabilitycenter(GCC).

Key Responsibilities

  • Define and lead the enterprise Data Science & AI strategy,roadmapand investmentin alignment with business priorities and ITobjectives, spanning machinelearning,generativeAI and agentic AI.

  • Build, lead, and develop highperformingData Science and AIteam.Hiretop talentdefineroles and career paths andestablisha culture of rigor,speedand accountability.

  • Serve as a seniorTechnicalvoice for AI across the enterprise, translating business problems into AI opportunities and setting realistic expectations grounding into what technology can and cannot do.

  • Stand up andoperatethe enterprise AI hub; Shared platform, reusable patterns. Model registry anddeliveryaccelerators through which all AI use cases are built and deployed.

  • Establish standards and reference architectures for generative and agentic AI, orchestration frameworks, retrieval patterns, semantic layers/knowledge graphs, agent action boundaries,observabilityand Human in the loop controls.

  • Evaluate and manage the AI tech stack and vendor ecosystem( cloudML platforms, GenAI Providers, data science tooling) including build vs buy decisions and commercial negotiations in partnership with procurement.

  • Partner with business and functional leaders toidentify, prioritize, and deliver highvalue analytics and AI use cases.

  • Design and operationalize the enterprise AI governance framework; Model risk management, validation standards, explainability, bias and fairness testing, driftmonitoringand audit trails.

  • Partner with Quality, Regulatory, legal and privacy to ensure AI deployments meet GxP,21 CFR Part 11,SOXand data privacy obligations.

  • Track and evaluate emerging AIcapabilities( frontiermodels, Agentic frameworks, domain specific models) and bring the right one into enterprise.

  • Oversee the design, development, and deployment of scalable data science and AI solutions, including predictive and prescriptive analytics.

  • Establish governance, standards, and best practices for data science, AI model development, validation, and lifecycle management.

  • Collaborate with enterprise data, digital, and IT teams to enable modern data platforms and advanced analytics capabilities.

  • Track performance, value realization, and adoption of Data & AI initiatives, continuously driving improvement and innovation.

Qualifications

Education:

  • Bachelor's degreerequiredin Data Science, Computer Science, Engineering, Mathematics, Statistics, ora related field.

  • Master's degree or PhD preferred.

Experience and Skills:

Required:

  • 12-14 years of relevant work experience, including senior leadership experience in data science, advanced analytics, or AI.

  • Deep currentexpertisein AI/ML Landscape; classic ML, Deep Learning, generative AI/LLMs and agentic architectures.

  • DemonstratedexpertiseinMLOps/LLMOpsand production AI at enterprise scale.

  • Working fluency with the modern AI/datastack;eg-Databricks/Snowflake/Sagemakeror comparable platforms, vector database orchestrationframeworksand GenAI providerecosystem( Anthropic,openAI,etc.)

  • Demonstrated ability to translate complex data insights into actionable business outcomes.

  • Experience partnering with senior executives and crossfunctional stakeholders.Executive level communication, able to set strategy with C-suite audiences, defend technical position and rigor and translate between business and deep technical stakeholders.

  • Strongpeopleleadership, talent development, andchangemanagement capabilities.

Preferred:

  • Experience in healthcare, medical technology, life sciences, or regulated industries.

  • Familiarity with enterprise data platforms, cloudbased analytics, and AI toolsets.

  • ExperienceestablishingAI governance, ethics frameworks, and model risk management.

  • Global or matrixed organizational leadership experience.

  • Strong executive communication and storytelling skills using data and analytics.

  • Proven experience leading enterprisescale data science and AI teams and initiatives.

Other:

  • Language: Englishproficiencyrequired.

  • Travel: Up to ~20% domestic and international travel may berequired.

For more information on how we support the whole health of our employees throughout their wellness,careerand life journey, please visitwww.careers.jnj.com.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.

#DePuySynthesCareers

Required Skills:

Preferred Skills:

Advanced Analytics, Business Storytelling, Consulting, Critical Thinking, Data Modeling, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Negotiation, Product Portfolio Management, Program Management, Quality Control (QC), Strategic Thinking

The anticipated base pay range for this position is :

$196,000.00 - $342,700.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-