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Overnight Climate Data Scientist Jobs (NOW HIRING)

Watershed

$150 - $190/hr

Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and ... This is an applied science role, where your knowledge and expertise will become product ...

New

Clarasight

Data Scientist

Boston, NY · On-site +1

You move fluidly between data science, prototyping, and product thinking, and you're just as ... Working among a diverse, expert team at the forefront of climate tech, behavioral change, and ...

IQUASAR LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

... climate/environmental informatics. Work will involve developing machine learning models that ... Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt ...

New

iQuasar LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

... climate/environmental informatics. Work will involve developing machine learning models that ... Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt ...

New

Lynker Corporation

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

Overview Lynker Corporation is a leading provider of innovative solutions in weather and climate ... Responsibilities Duties of the Environmental Data Scientist will include the following: * Data ...

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Overnight Climate Data Scientist information

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$46K

$165K

$243.5K

How much do overnight climate data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for overnight climate data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is an overnight climate data scientist?

An Overnight Climate Data Scientist is a professional who analyzes climate and weather data during overnight shifts to provide timely insights and forecasts. They process large volumes of environmental data from satellites, sensors, and meteorological stations, often working in real-time to support critical operations such as disaster response or energy grid management. Their work may involve developing predictive models, cleaning and organizing datasets, and communicating findings to stakeholders. This role is crucial for organizations that require continuous climate monitoring and rapid decision-making during non-standard hours.

What are the key skills and qualifications needed to thrive as an overnight climate data scientist?

To thrive as an Overnight Climate Data Scientist, you need a solid background in climate science, statistics, and data analysis, typically supported by a relevant degree such as environmental science, meteorology, or data science. Proficiency with programming languages like Python or R, experience with climate modeling tools, and familiarity with data visualization and remote sensing systems are essential. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings effectively are key soft skills for this role. These skills are crucial for accurately analyzing climate data, generating actionable insights, and supporting decision-making processes during overnight operations.

What unique challenges might an overnight climate data scientist face, and how can they effectively manage them?

Working as an Overnight Climate Data Scientist often means handling real-time data monitoring and urgent data processing tasks during non-traditional hours. This schedule can present challenges such as staying alert during late-night shifts, quickly troubleshooting data anomalies, and ensuring seamless communication with daytime colleagues. Effective time management, strong self-discipline, and clear documentation practices are essential for success. Additionally, leveraging automated reporting tools and scheduling regular handoffs with other team members help maintain data accuracy and team cohesion.

What is the difference between Overnight Climate Data Scientist vs Overnight Environmental Data Analyst?

AspectOvernight Climate Data ScientistOvernight Environmental Data Analyst
Required CredentialsBachelor's/Master's in Climate Science, Data Science, or related fieldsBachelor's in Environmental Science, Data Analysis, or related fields
Work EnvironmentResearch labs, climate modeling centers, or data-focused teamsEnvironmental agencies, consulting firms, or research organizations
Industry UsageClimate modeling, policy analysis, environmental forecasting

The Overnight Climate Data Scientist primarily focuses on analyzing climate models and developing predictive algorithms related to climate change. In contrast, the Overnight Environmental Data Analyst concentrates on interpreting environmental data such as pollution levels or resource usage. Both roles require strong data analysis skills and relevant credentials, but their specific focus areas and industry applications differ.

More about Overnight Climate Data Scientist jobs

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What are the most commonly searched types of Climate Data Scientist jobs?

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Overnight Climate Data Scientist jobs near you
Infographic showing various Overnight Climate Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Climate Data Scientist, Sustainability

Watershed Technology, Inc

San Francisco, CA • On-site

$193K - $202K/yr

Full-time

Posted 4 days ago

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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