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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)

StubHub

Data Science Manager

New York, NY · On-site +1

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Hybrid (3 days in office/2 days remote) - New York, NY or Century City , CA What You'll Do

Mission Lane

Head of Data Science

About the Role As the Head of Data Science, you will lead the strategic direction of data science ... remote-friendly work environment. About Mission Lane: Founded in December 2018, Mission Lane is a ...

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 ...

New

Mission Lane

Head of Data Science

Richmond, VA · On-site +1

About the Role As the Head of Data Science, you will lead the strategic direction of data science ... remote-friendly work environment. About Mission Lane: Founded in December 2018, Mission Lane is a ...

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply ... Support the sustainment of risk scoring tools and other data analysis implementations by ...

StubHub

Data Science Manager

Los Angeles, CA · On-site +1

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Hybrid (3 days in office/2 days remote) - New York, NY or Century City, CA What You'll Do

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

DocuSign

Product Data Science Intern

Seattle, WA · On-site +1

What you'll do Docusign's Product Data Science team is looking for a Data Scientist Intern to ... Employee divides their time between in-office and remote work. Access to an office location is ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

PatientPoint

REMOTE - Data Scientist

$101.54K - $175.73K/yr

Cincinnati OR Remote Travel Required: 2-3 times yearly Job Summary The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations ...

The Hartford

Director of Data Science

Charlotte, NC · On-site +1

$153.20K - $229.80K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

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Data Science Sustainability Remote information

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$122.7K

$196.5K

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

As of May 31, 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 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.

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 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 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 May 2026, with employment types broken down into 100% Part Time. Highlights an 100% 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 26 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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