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Data Science Sustainability Remote Jobs in Florida

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics * 6+ years of ...

The individual will support advanced remote sensing exploitation functions through detailed ... Utilize advanced GEOINT tools to analyze and exploit remotely sensed data to produce and ...

Data Engineer

Florida City, FL · Remote

$105K - $126K/yr

Minimum 5+ years working in Data Science. * We expect you to have a passion and experience in ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

Data Architect - REMOTE

Tallahassee, FL · Remote

$110K - $143K/yr

Bachelor's Degree in CIS, Data Science, Data Analytics or related field preferred or equivalent combination of education and experience required. * Seven (7) years of working in a data function or ...

Senior Data Product Manager

FL

$122K - $161K/yr

... and sustainability to life. Through cutting-edge advancements in climate solutions such as ... Bachelor's degree in computer science, Data Science, or Engineering * 12 + years of experience in ...

Bachelor's degree in marketing, Business, Analytics, Statistics, Data Science, or a related field ... This is a remote role with up to 20% travel. This job posting is anticipated to close on 08/01/2026.

S. work authorization is required. • Bachelor's degree in information systems, Computer Science ... WORK ENVIRONMENT Work is expected to be remote; however, the company reserves the right to require ...

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in one of several remote hire locations) Position Type: Full Time The ... The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze ...

Showing results 41-60

Data Science Sustainability Remote information

What is a data science sustainability remote job?

A Data Science Sustainability Remote job involves using data analysis and machine learning techniques to address environmental and sustainability challenges while working from a remote location. Professionals in this role analyze large datasets to uncover insights that can improve energy efficiency, reduce waste, and help organizations meet their sustainability goals. They often collaborate with sustainability teams and decision-makers to design data-driven strategies for positive environmental impact. Remote work allows them to perform these tasks from virtually anywhere, providing flexibility and access to a wide range of organizations.

What does a data science sustainability remote professional do?

In a remote Data Science Sustainability role, you'll frequently collaborate with teams such as environmental specialists, product managers, and IT professionals to analyze data and develop models that support the organization's sustainability goals. Effective virtual communication and project management tools are essential, as you may participate in regular video meetings, share progress updates, and co-develop solutions to track and reduce environmental impact. By working closely with diverse departments, you help translate complex data insights into actionable strategies, making your contributions highly visible and impactful across the organization.

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

To excel as a Data Science Sustainability professional in a remote setting, you need a solid background in data analysis, statistical modeling, and domain knowledge in environmental or sustainability science, typically backed by a relevant degree. Familiarity with programming languages like Python or R, data visualization tools, and experience with sustainability data platforms or certifications such as LEED or GRI is highly valuable. Strong communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating across virtual teams and translating data insights into actionable strategies. These skills ensure that data-driven decisions effectively support sustainability goals while maintaining productivity and alignment in a remote work environment.

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

AspectData Science Sustainability RemoteData Analyst Sustainability Remote
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like SAS or PythonBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentRemote, collaborative teams, often with data engineering and analytics departmentsRemote, focused on data collection, cleaning, and reporting within sustainability projects
Employer & Industry UsageTech companies, environmental agencies, consulting firmsResearch institutions, environmental organizations, corporate sustainability teams

Data Science Sustainability Remote involves advanced analytics, machine learning, and modeling to support sustainability initiatives, requiring technical expertise. Data Analyst Sustainability Remote focuses on analyzing and visualizing sustainability data to inform decisions. Both roles are remote and integral to sustainability efforts but differ in technical complexity and responsibilities.

What job categories do people searching Data Science Sustainability Remote jobs in Florida look for?

The top searched job categories for Data Science Sustainability Remote jobs in Florida are:

What cities in Florida are hiring for Data Science Sustainability Remote jobs?

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

Principal / Sr. Principal Data Scientist - Machine Learning and Predictive Analytics

Northrop Grumman Corporation

Melbourne, FL • On-site, Remote

Full-time

Medical, Life, PTO

Re-posted 29 days ago


Northrop Grumman rating

8.3

Company rating: 8.3 out of 10

Based on 368 frontline employees who took The Breakroom Quiz

66th of 545 rated manufacturers


Job description

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: Top SecretTRAVEL: Yes, 25% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman is seeking an experiencedPrincipal or Senior Principal Data Scientistto join our team of qualified, diverse individuals in Melbourne, Fl. This position is required full-time, in-office. There is no option for remote or hybrid work arrangements.

Accomplish

We are seeking a first-principles thinker and skilled data scientist to solve complex data challenges. This is not a role for operating pre-built tools; this is an opportunity to architect and build the core data logic of our systems. You will be responsible for creating custom, high-performance statistics and machine learning tools from the ground up, making meaning of complex data sets. Your work will involve deep data modeling, abstracting reusable patterns, and writing modular, maintainable code that stands the test of time.

Essential Functions:

  • Collaborate closely with software engineers, analysts, and other data scientists to understand data requirements and deliver robust, integrated solutions.

  • Architect and develop custom, maintainable data science solutions from the ground up.

  • Write and maintain tests and documentation for data architecture, workflows, and processes.

  • Champion software engineering best practices within the data domain, including comprehensive unit/integration testing, CI/CD automation (Git, Docker), and robust documentation.

  • Tune and optimize complex algorithms within our on-premise infrastructure.

Succeed

The individual we seek will be self-motivated, proactive, goal-oriented to help us grow our services, become even better at what we do and will possess the following qualifications.

**This requisition may be filled at either a Principal Level or a Sr. Principal Level**

Basic Qualifications for a Principal Data Scientist:

  • Bachelor of Science degree in Data Science, Computer Science, Software Engineering, Applied Mathematics, or related field, with a minimum of 5 years of relevant experience, OR Master of Science degree in relevant fields with 3 years of relevant experience.

  • Deep understanding of Machine Learning and Deep Learning

  • Recent professional experience in software development and/or data engineering.

  • Strong programming skills in Python and SQL.

  • Familiarity with CI/CD pipelines and version control (e.g., Git, Docker, etc.)

  • Your ability to transfer and maintain the final adjudicated government Top Secret clearance, and any program access (es) required for the position within a reasonable period of time, as determined by the company. Active In Scope Top Secret Clearance required to start.

Basic Qualifications for a Sr Principal Data Scientist:

  • Bachelor of Science degree in Data Science, Computer Science, Software Engineering, Applied Mathematics, or related field, with a minimum of 8 years of relevant experience, OR Master of Science degree in relevant fields with 6 years of relevant experience, OR PhD/Doctorate degree in relevant fields with 4 years of relevant experience.

  • Deep understanding of Machine Learning and Deep Learning

  • Recent professional experience in software development and/or data engineering.

  • Strong programming skills in Python and SQL.

  • Familiarity with CI/CD pipelines and version control (e.g., Git, Docker, etc.)

  • Your ability to transfer and maintain the final adjudicated government Top Secret clearance, and any program access (es) required for the position within a reasonable period of time, as determined by the company. Active In Scope Top Secret Clearance required to start.

Preferred Qualifications:

  • Master's degree or higher, in Data Science or related discipline.

  • 7 years of experience in software development.

  • Experience with C/C++.

  • Experience with machine learning pipelines and data science workflows.

  • Familiarity with SQL Alchemy, Numpy, Pandas, SKLearn, PyTorch.

  • Ability to troubleshoot and optimize complex data queries and workflows.

  • Familiarity with big data concepts, machine learning pipelines, and MLOps.

  • Excellent problem-solving skills with the ability to troubleshoot and optimize across the entire data stack.

  • Ability to work in a fast-paced environment.

Primary Level Salary Range: $108,200.00 - $162,400.00Secondary Level Salary Range: $135,000.00 - $202,600.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939