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Data Science Sustainability Remote Jobs in Virginia

Data Scientist

Arlington, VA · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0245915 Location: Arlington,VA,US Share job via: Share Data Scientist The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245622 Location: Arlington,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246335 Location: Arlington,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing ... for remote work to be determined by the program manager and customer. Essential Functions:

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role ...

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security ...

... remote sensing datasets - familiarity with the data types matters here. * Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity. * Experience ...

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

... data science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling • Develop and manage scalable data processing platforms for ...

Health IT Data Scientist

Alexandria, VA · On-site +1

$110K - $120K/yr

This is a remote position. US Citizenship is required for consideration. Ability to obtain and ... Stay current with emerging data science technologies and best practices. Minimum Qualifications

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246463 Location: Reston,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243379 Location: Reston,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247320 Location: Arlington,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Showing results 21-40

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 are the most commonly searched types of Data Science Sustainability jobs in Virginia?

The most popular types of Data Science Sustainability jobs in Virginia are:

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

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

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

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

IT Manager - AI Platform Engineering & Data Science

Ferguson Enterprises, LLC

Springfield, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Ferguson Waterworks rating

9.1

Company rating: 9.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

25th of 423 rated retail wholesalers


Job description

Job Posting:
Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers' complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in.
IT Manager, AI Platform Engineering & Data Science
The Manager, Platform Engineering & Data Science is a key technology leader within Ferguson's AI Technology and Innovation organization, responsible for building and evolving the platforms, engineering standards, and cloud capabilities that enable scalable AI, machine learning, and software delivery across the enterprise. This role leads a team of platform engineers, architects, and technical specialists who provide the foundational capabilities that power AI innovation, modern application development, and data science initiatives. Working across a hybrid-cloud environment, with Google Cloud Platform (GCP) as the primary hyperscaler and Azure supporting hybrid workloads and legacy integrations, this leader will drive platform strategy, cloud architecture, developer experience, DevSecOps maturity, and MLOps capabilities that accelerate the delivery of secure, reliable, and scalable solutions.
Reporting to the Director, AI Technology and Innovation, the Manager, Platform Engineering & Data Science will collaborate closely with experts in AI Engineering, Data Science, Product, Architecture, and IT to modernize technology platforms, improve engineering efficiency, and enable teams to move rapidly from experimentation to production while delivering measurable business value.
Location: This role is approved to be remote within the United States; however, candidates must reside in the Eastern or Central time zones to support collaboration with team members based in Newport News, VA, and our Global Capability Center (GCC) team in India. Associates located near Newport News may work in a hybrid arrangement in accordance with company policy. Occasional travel to Ferguson headquarters in Newport News, VA, and other company locations, including Tampa, FL, is expected.
Duties and Responsibilities:
  • Lead, coach, and develop a high-performing team of platform engineers, architects, and technical specialists.
  • Define and execute the platform engineering, cloud, and data science roadmap in support of Ferguson's AI and technology strategy.
  • Design, build, and optimize scalable, secure, and reliable platform capabilities across Google Cloud Platform (GCP) and hybrid-cloud environments.
  • Partner with AI Engineering, Data Science, Product, and Architecture teams to enable the development, deployment, and operation of AI and machine learning solutions.
  • Drive DevSecOps, CI/CD, infrastructure automation, and platform reliability standards to improve delivery speed, quality, and operational efficiency.
  • Own and enhance MLOps and data science platform capabilities, supporting model development, training, deployment, and monitoring at scale.
  • Establish engineering standards, architecture patterns, API strategies, and reusable platform services that accelerate software delivery.
  • Lead platform modernization initiatives, including cloud adoption, developer experience improvements, automation, and legacy technology retirement.
  • Manage project delivery, budgets, vendor relationships, and team capacity to ensure successful execution of critical initiatives.
  • Supervise platform performance, security, availability, and scalability while proactively identifying and mitigating risks.
  • Build strong partnerships with business and technology leaders to align platform investments with organizational priorities.
  • Stay ahead of emerging cloud, AI, data, and engineering technologies to drive innovation and continuous improvement.

Qualifications and Requirements:
  • Bachelor's degree in information technology, computer science or related field preferred, or equivalent experience.
  • Must have at least 5 years of hands-on experience in platform engineering. Experience in machine learning implementation and data analytics enablement is required. You should have broad knowledge of how platform capabilities support integration and innovation across different business domains.
  • Must have prior experience directly leading engineering or technical talent, including performance management and career development for direct reports; experience with offshore/onsite consultants preferred.
  • Must have direct experience in software programming with Java and/or Python, along with Software Architecture and Engineering expertise.
  • Must have experience in secure software delivery (DevSecOps) and continuous integration/continuous deployment (CI/CD), and pipeline development.
  • Must have hands-on experience architecting and operating platform services on Google Cloud Platform (GCP) as the primary hyperscaler, with working knowledge of Azure to support hybrid-cloud workloads and legacy system integration.
  • Experience enabling data science and ML workflows using cloud-native tooling (e.g., Vertex AI, BigQuery, or equivalent feature-store, pipeline-orchestration, and model-serving constructs) strongly preferred.
  • Must have experience creating operational dashboards, telemetry configurations and alerting templates for end-to-end flow of data services using APM and Data Logging solutions such as AppDynamics, DataDog etc.
  • Solid understanding and experience implementing software design patterns and modern standards.
  • Must be a hands-on software engineer able to work alongside a cross-functional team of software engineers, software architects, data scientists, and software quality engineers as needed.
  • Demonstrates high aptitude, initiative, and self-drive - proactively finds opportunities to improve the platform and data science tooling rather than waiting for direction, and leads technical work hands-on rather than purely delegating.
  • Strong leadership and interpersonal relationship building skills.
  • Strong written communication skills with the ability to deliver compelling presentations.

At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more!
#LI-REMOTE
Pay Range:
Actual pay rate may vary depending upon location. The estimated pay range for this position is below. The specific rate will depend on a candidate's qualifications and prior experience.
$7,568.91 - $13,247.76
Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles.
This role is Bonus or Incentive Plan eligible.
Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements.
The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability.
Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity.
Equal Employment Opportunity and Reasonable Accommodation Information

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