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Data Scientist

San Francisco, CA

Document methodologies and processes to ensure that data science projects are scalable and sustainable. * Assist in the data governance process to ensure data accuracy and integrity. Requirements

Tetra Tech, Inc.

Senior Data Scientist

Washington, DC · On-site

$155K - $170K/yr

Work 40 hours a week but potentially work late night shifts and weekends at times to cover ... Computer Science, Mathematics, Statistics, Data Science or Engineering) or related field * Doctor ...

Tetra Tech

Senior Data Scientist

Washington, DC · On-site

... and weekends at times to cover overnight and weekend data modeling needs • Document the FAA ... Computer Science, Mathematics, Statistics, Data Science or Engineering) or related field Preferred ...

Tetra Tech

Senior Data Scientist

Washington, DC

$155K - $170K/yr

Work 40 hours a week but potentially work late night shifts and weekends at times to cover ... Computer Science, Mathematics, Statistics, Data Science or Engineering) or related field * Doctor ...

Rent the Runway

Manager, Data Science

New York, NY · On-site

... joyful, sustainable and financially-savvy way to feel their best every day. As the ultimate ... The Data Science team develops machine learning solutions, recommendation systems, experimentation ...

Rent The Runway

Manager, Data Science

Manhattan, NY · On-site

$150 - $190/hr

... joyful, sustainable and financially-savvy way to feel their best every day. As the ultimate ... The Data Science team develops machine learning solutions, recommendation systems, experimentation ...

Hasbro

Analyst Corporate Sustainability

Boston, MA · On-site

$130K - $149K/yr

Bachelor's degree in a field related to Data/Computer Science, Sustainability, Accounting, Energy/Environmental Management, Environmental Engineering/Science, or other analytics degree. * 0 - 3 years ...

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

As of Aug 23, 2026, the average yearly pay for weekend data science sustainability 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.

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Weekend Data Science Sustainability jobs near you
Infographic showing various Weekend Data Science Sustainability job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Climate Data Scientist, Sustainability

Watershed Technology, Inc

San Francisco, CA • On-site

$193K - $202K/yr

Full-time

Posted yesterday

New

Job description

About Watershed
Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team.
We have offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us!
The role
Domain expertise in the science of sustainability is the foundation upon which Watershed is built. On the Methodology team, we work at the nexus of corporate sustainability, sustainability science, data, and software - developing the methods that turn raw business data into auditable sustainability data and actionable sustainability insight.
This is a technical, hands-on, and highly collaborative role. You'll work closely with software engineers, data scientists, and product managers to build and maintain Watershed's industry-leading built-in methodologies: keeping them up to date with the latest scientific developments and standards, developing pragmatic and innovative approaches to emerging challenges, and maintaining our high bar for scientific rigor and integrity.
This is an applied science role, where your knowledge and expertise will become product capabilities used by companies to understand and reduce their real-world impact. You'll need to understand not only the scientific fundamentals of sustainability, but also how they apply across business contexts, sectors, data realities, legislation, and standards. Great corporate sustainability programs that drive real change are built on credible, accessible, and actionable data - this is our North Star.
You will
  • Develop, maintain, and improve Watershed's built-in sustainability methodologies, translating sustainability science, GHG accounting standards, and emerging regulatory requirements into robust product logic.
  • Partner closely with software engineers, data scientists, and product managers to design methodology features that are scientifically rigorous, auditable, scalable, and intuitive for customers.
  • Work directly in and around the codebase: reviewing methodology implementations, writing clear technical specifications, contributing configuration or logic where appropriate, and helping build tests that give us confidence in scientific correctness.
  • Interpret evolving standards and guidance - including the GHG Protocol, sustainability reporting frameworks, and sector-specific methodologies - and determine how they should be reflected in Watershed's product.
  • Investigate complex customer and product questions where sustainability science, data quality, accounting rules, and business context intersect.
  • Build pragmatic approaches for messy real-world business data, balancing scientific rigor with usability, auditability, and customer impact.
  • Collaborate with our go-to-market and customer-facing teams to explain methodology choices clearly to customers, auditors, and other stakeholders.
  • Help set the bar for scientific quality across Watershed by documenting decisions, reviewing methodology changes, and contributing to our internal methodology standards.
You might be a fit if you
  • Have a Master's or PhD in climate science, environmental science, sustainability, industrial ecology, or another relevant quantitative field.
  • Have 5+ years of experience in corporate sustainability, sustainability consulting, carbon accounting, climate strategy, or a related field - ideally working with large, complex organizations.
  • Are a systems thinker who can zoom out to understand interconnected sustainability and business systems, then zoom in to identify high‑leverage technical solutions and anticipate unintended impacts.
  • Have deep knowledge of both the application of, and reasoning behind, prevailing GHG accounting standards and sustainability reporting frameworks - at minimum the GHG Protocol Corporate Standard and Scope 3 Standard; familiarity with the GHG Protocol Land Sector and Removals Guidance and updated ESRS is a plus.
  • Able to work in a Python codebase. This is not a software engineering role, but you should be comfortable reading code, reasoning about implementation details, and making contributions to the codebase.
  • Can communicate complex ideas clearly to a wide range of audiences, including scientific experts, academics, verifiers, auditors, customers, internal business stakeholders, software engineers, and data scientists.
Bonus points
  • Experience building or maintaining carbon accounting methodologies, emissions factor datasets, LCA models, or sustainability software.
  • Familiarity with assurance or audit processes for GHG inventories or sustainability disclosures.
  • Comfort working with data using Python, SQL, Typescript, or similar tools.
  • Experience translating complex standards or scientific methods into operational guidance, technical specifications, or product requirements.
  • Experience working with engineers to translate scientific methods into tested, production-grade software.

Must be willing to work from an office 4 days per week (except for remote roles)
Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Denver, Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so.
What's the interview process like?
It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process.
What if I need accommodations for my interview?
At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

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