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Data Science Sustainability Remote Jobs (NOW HIRING)

Coterie Applications, Inc.

VP, Data Science

... that support sustainable growth * Evaluate and improve the tools, processes, metrics and ... We offer the following: * 100% remote * Health insurance through Aetna (we pay 100% of premiums)

College Board

Data Scientist, Data Science Team

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... We're a self-sustaining nonprofit that believes in fair and competitive compensation, grounded in ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Ascension

Data Science Manager

Remote Department/Specialty: Clinical and Population Health Analytics Schedule: Full time | Day ... Lead and mentor a specialized team of data scientists to build advanced AI solutions that directly ...

Ascension

Data Science Manager

$138K/yr

Remote Department/Specialty: Clinical and Population Health Analytics Schedule: Full time | Day ... Lead and mentor a specialized team of data scientists to build advanced AI solutions that directly ...

New

Quadax, Inc.

Data Science Analyst

Cleveland, OH · On-site +1

Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA ... in Data Science * Professional experience with, and more than a basic understanding of AI ...

Elder Research

Data Scientist (Remote)

... science, computer science, operations research or other closely related other quantitative or ... driven solutions, data models, and visualizations. • Washington DC Metro Area - Remote ...

Quadax

Data Science Analyst

Middleburg Heights, OH · On-site

Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA ... in Data Science * Professional experience with, and more than a basic understanding of AI ...

DoorDash

Manager, Data Science

San Francisco, CA · On-site

You will report into Director, Data Science on our Merchant Analytics team in our Analytics ... Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We ...

IPG

Data Scientist - Materials R&D - Remote-Travel

... sustainable materials by applying advanced data science and machine learning to enhance material performance and accelerate innovation. Responsibilities : • Partner with polymer scientists ...

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All JobsData Science Sustainability Remote Jobs

Data Science Sustainability Remote information

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$37.5K

$122.7K

$196.5K

How much do data science sustainability remote jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data science sustainability remote in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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.

How does a remote Data Science Sustainability role typically contribute to cross-functional teams within an organization?

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 are the key skills and qualifications needed to thrive as a Data Science Sustainability professional working remotely, and why are they important?

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.

More about Data Science Sustainability Remote jobs
What cities are hiring for Data Science Sustainability Remote jobs? Cities with the most Data Science Sustainability Remote job openings:
What are the most commonly searched types of Data Science Sustainability jobs? The most popular types of Data Science Sustainability jobs are:
What states have the most Data Science Sustainability Remote jobs? States with the most job openings for Data Science Sustainability Remote jobs include:
What job categories do people searching Data Science Sustainability Remote jobs look for? The top searched job categories for Data Science Sustainability Remote jobs are:
Data Science Sustainability Remote jobs near you
Infographic showing various Data Science Sustainability Remote job openings in the United States as of June 2026, with employment types broken down into 6% Internship, 85% Full Time, and 9% Part Time. Highlights an 2% In-person, and 98% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

VP, Data Science

Coterie Applications, Inc.

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Who we are:
Through a partnership-based approach, Coterie helps insurance professionals unlock untapped revenue in the small commercial space. With an innovative quoting platform that delivers accurate pricing and bindable quotes in less than one minute, Coterie makes small business insurance effortless.
We are on a mission to build and foster a world-class team to bring speed, simplicity, and service to commercial insurance. We value integrity, humility, passion, and intelligence. If you want to push yourself and reshape a $200B+ market, we're excited to talk to you!
Position Summary:
The VP, Data Science will lead Coterie's data science and research functions within the broader Data and Analytics (DnA) organization. Furthermore, the VP, Data Science will develop and mentor a team of highly technical individual contributors and people leaders while setting priorities for the design, documentation, review and delivery of high-quality data science products such as APIs, experiments, interactive data applications, predictive models, reports and automated workflows.
Key Responsibilities:
  • Own the roadmaps for the data science and research and development (R&D) subdomains of DnA
  • Partner with key stakeholders in compliance, data, engineering, insurance, revenue and security to translate business needs into data science and R&D priorities
  • Clearly communicate strategy, progress, risks and recommendations to executive audiences, technical teams and non-technical stakeholders
  • Guide data science and R&D subdomains through complex tradeoffs involving business impact, explainability, regulatory considerations, rigor, scalability and speed
  • Champion a culture of accountability, collaboration, continuous improvement and intellectual curiosity while ensuring the team remains focused on enterprise priorities rather than isolated technical outputs
  • Serve as a senior-level people leader within DnA; responsible for career development, performance expectations and succession plans that support sustainable growth
  • Evaluate and improve the tools, processes, metrics and partnerships needed to scale data science and R&D capabilities efficiently across Coterie

Required Qualifications:
  • Master's degree or higher in Computer Science, Data Science, Economics, Engineering, Mathematics, Operations Research, Statistics or a related quantitative field
  • 10+ years of professional data science experience
  • 5+ years of experience managing data teams including coaching, hiring, leadership development, organizational design and performance management; demonstrated success establishing and maintaining accountability, scaling processes and teams
  • Strong executive presence and communication skills including the ability to explain complex analytical concepts, model tradeoffs, research outcomes and strategic recommendations to senior stakeholders
  • Deep understanding of the data science lifecycle including problem framing, exploratory analysis, experimentation, model development, testing, deployment, monitoring, governance and business impact measurement
  • Strong cross-functional leadership skills with a track record of partnering effectively with compliance, data, engineering, insurance, revenue and security teams
  • Technical fluency with technologies such as AWS/Azure/GCP, Databricks, Posit and scripting languages (Python, R, SQL)
  • Technical fluency with topics such as AI agents and systems, experimental design, LLMs, MLOps, ModelOps

Bonus Skills/Experience:
  • Experience developing and deploying AI-based products in production
  • Experience leading teams developing and deploying AI-based products in production
  • Experience leading or partnering with applied research, experimentation, innovation or R&D teams that explore new data sources, methodologies and technologies
  • Experience partnering with actuarial, claims, credit, pricing or underwriting teams
  • Experience working in regulated industries such as banking, financial services, healthcare, insurance or related environments with meaningful audit, compliance, governance, and risk expectations

Our interview process:
Our hiring process generally consists of 4 phases. The goal is to provide an opportunity for us to learn more about our candidates while allowing them to get to know us as well!
  • Phase 1: Qualified candidates will first meet with a member of our People Operations team for a phone interview. This discussion is a high-level conversation to understand more about your background and interests and for us to share more about Coterie and the position.
  • Phase 2: Selected candidates will be invited to participate in an experiential exercise interview with the hiring manager. This will include a project provided in advance along with a 1.5-hour interview conducted with our hiring manager.
  • Phase 3: Top candidates will be invited to meet with members of our Data & Analytics (DnA) team. This stage consists of two separate 45-minute team interviews, for a total of 1.5 hours.
  • Phase 4: Final candidates will be invited to a 30-minute interview with a senior member of our leadership team.

What's in it for you:
Coterie has excellent benefits for all full-time employees. We offer the following:
  • 100% remote
  • Health insurance through Aetna (we pay 100% of premiums)
  • Dental and vision insurance through Guardian (we pay 100% of premiums)
  • Basic life insurance (we pay 100% of premiums)
  • Access to flexible spending account (FSA) or health savings account (HSA) (for those using HSA eligible plans)
  • 401K plan (up 4% match with immediate vest). Must be 21 years of age or older to participate
  • Flexible PTO is expected to align with business needs and generally does not exceed approximately 5 weeks per calendar year.
  • 12 company-paid holidays each year
  • Continuing education annual stipend
  • Annual salary estimated between $185,000-$250,000 based on national data. Candidates who meet all the minimum requirements and possess additional relevant experience, as outlined in the job description, may be considered for a salary above the midpoint of the above range. Salary is based on internal equity; internal salary ranges; market data/ranges; applicant's skills; prior relevant experience; degrees or certifications, etc.

Work Authorization:
At this time, Coterie Insurance is unable to consider candidates who require current or future visa sponsorship. Applicants must have authorization to work in the United States without the need for sponsorship now or in the future. Falsification of an application, including work authorization status, is immediate grounds for dismissal from consideration.

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