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Climate Data Scientist Jobs (NOW HIRING)

Thrive Market

Senior Data Scientist

Vista, CA · On-site +1

We are also a Certified B Corporation, a Public Benefit Corporation, and a Climate Neutral ... THE ROLE At Thrive Market, our ML (Data Science) team drives meaningful impact for both our members ...

Verse

Senior Data Scientist

San Francisco, CA · On-site

Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster ... Experience in energy, climate tech, or related domains (not required) * Familiarity with ...

Electra

Principal Data Scientist

Boulder, CO · On-site

$175K - $215K/yr

... TIME's 100 Climate Leaders, we're building a company shaping the future of industry. If you're ... What you will do: Electra is seeking a Principal Data Scientist to join our Product team and ...

Verse

Senior Data Scientist

San Francisco, CA · On-site

Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster ... Experience in energy, climate tech, or related domains (not required) * Familiarity with ...

Verse

Senior Data Scientist

San Francisco, CA · On-site

Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster ... Experience in energy, climate tech, or related domains (not required) * Familiarity with ...

Electra

Principal Data Scientist

Boulder, CO · On-site

$175K - $215K/yr

... TIME's 100 Climate Leaders, we're building a company shaping the future of industry. If you're ... What you will do: Electra is seeking a Principal Data Scientist to join our Product team and ...

Carnival Corporation

Associate Data Scientist

Seattle, WA · On-site

$67K - $68K/yr

The Associate Data Scientist will play a hands-on role in supporting the ongoing development ... Work primarily in a climate-controlled environment with minimal safety/health hazard potential.

isone

Data Scientist

Kinston, NC · Hybrid

$117K - $146K/yr

Work independently and collaboratively on analytical, programming, modelling, and data management ... or cold-climate heat pumps This employer will not sponsor applicants for work visas for this ...

ISO New England, Inc.

Data Scientist

Windsor, CT · On-site

$117K - $146K/yr

Experience working with big data, geospatial analytics, and/or probabilistic forecasting ... or cold-climate heat pumps This employer will not sponsor applicants for work visas for this ...

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Climate Data Scientist information

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$165K

$243.5K

How much do climate data scientist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for 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 a Climate Data Scientist job?

A Climate Data Scientist analyzes large datasets related to climate and environmental changes to identify patterns, make predictions, and support decision-making. They use statistical models, machine learning, and data visualization techniques to assess climate trends, extreme weather events, and environmental risks. Their work often supports policymakers, researchers, and organizations in mitigating climate change impacts and developing sustainable solutions.

What are some common projects or responsibilities a Climate Data Scientist may handle on a daily basis?

Climate Data Scientists typically work on projects such as analyzing large climate datasets, developing predictive models for weather or environmental trends, and visualizing data to support scientific or policy reports. Day-to-day tasks may include cleaning and processing data, running simulations, and collaborating with other scientists or policy experts. There’s also a strong focus on communicating findings to both technical and non-technical audiences, often as part of a multidisciplinary team. This variety ensures that each day brings new challenges and opportunities to contribute to impactful environmental solutions.

What are the key skills and qualifications needed to thrive in the Climate Data Scientist position, and why are they important?

To thrive as a Climate Data Scientist, you need a strong background in statistics, environmental science, and programming, often supported by an advanced degree in a related field. Expertise with data analysis tools like Python, R, machine learning libraries, and experience with geospatial systems such as GIS is highly valued. Strong problem-solving, communication, and collaboration skills help you interpret complex climate data and convey insights to diverse stakeholders. These abilities are crucial for effectively turning vast climate datasets into actionable information that drives environmental research and policy decisions.

More about Climate Data Scientist jobs
What cities are hiring for Climate Data Scientist jobs? Cities with the most Climate Data Scientist job openings:
What are the most commonly searched types of Climate Data Scientist jobs? The most popular types of Climate Data Scientist jobs are:
What states have the most Climate Data Scientist jobs? States with the most job openings for Climate Data Scientist jobs include:
What job categories do people searching Climate Data Scientist jobs look for? The top searched job categories for Climate Data Scientist jobs are:
Climate Data Scientist jobs near you
Infographic showing various Climate Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 2% Part Time, 6% Temporary, 1% Contract, and 4% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Senior Data Scientist

Senior Data Scientist

Thrive Market

Vista, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Thrive Market rating

7.3

Company rating: 7.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

3rd of 22 rated food delivery companies

Job description

ABOUT THRIVE MARKET
Thrive Market was founded in 2014 with a mission to make healthy and sustainable living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy, and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,700,000+ members find better products, support better brands, and build a better world in the process. We are also a Certified B Corporation, a Public Benefit Corporation, and a Climate Neutral Certified company.
Join us as we bring healthy and sustainable living to millions of Americans in the years to come.
THE ROLE
At Thrive Market, our ML (Data Science) team drives meaningful impact for both our members and the business by transforming data into insights, models, and systems that shape every part of the e-commerce grocery journey. From powering search, recommenders and personalization to optimizing lifecycle engagement, our data scientists ensure decision-making and product experiences are grounded in rigorous analysis and scalable intelligence.
We're looking for a Senior Data Scientist to play a critical role within our ML team. In this role, you'll own high-impact analytical and modeling initiatives end-to-end, partnering closely with Product, Engineering, and Analytics to influence strategy, improve customer experience, and drive measurable business outcomes. You will be expected to operate with significant autonomy, demonstrate strong judgment in problem framing and solution design, and raise the overall bar for data science excellence across the organization.
RESPONSIBILITIES:
  • Own and deliver high-impact data science initiatives, from problem definition and data exploration to modeling, validation, and productionization, driving measurable improvements in customer experience and business metrics.
  • Partner closely with Product, Engineering, and Analytics to shape roadmaps, define success metrics, and translate ambiguous business problems into well-scoped analytical or modeling solutions.
  • Partner with Engineering and Devops to deploy, operate, and scale ML workloads using cloud-native infrastructure and MLOps tooling (e.g., AWS SageMaker, Lambda, S3, ECR, Docker, Kubernetes).
  • Design, build, and iterate on statistical models, machine learning systems, and decision frameworks (e.g., personalization, ranking, forecasting, experimentation analysis).
  • Lead rigorous experimentation and measurement practices, including A/B test design, hypothesis formulation, metric selection, causal inference, and interpretation of results.
  • Communicate insights, trade-offs, and recommendations clearly to both technical and non-technical stakeholders, influencing decisions at the pod and org level.
  • Ensure high standards of quality and reliability in data science outputs through code reviews, model validation, documentation, and monitoring.
  • Proactively identify opportunities and risks in data, modeling, or experimentation approaches, and drive improvements that enhance scalability, accuracy, and long-term impact.
  • Mentor and support other data scientists through technical guidance, feedback, and best-practice sharing, without direct people management responsibility.

QUALIFICATIONS:
  • 5+ years of experience in data science, applied machine learning, or a related quantitative role, with demonstrated ownership of end-to-end projects.
  • Strong grounding in ML, statistics, experimentation and data analysis, including hypothesis testing, causal reasoning, and metric design.
  • Experience building and deploying production-grade models or analytical systems in collaboration with engineering teams, including hands-on experience with cloud-based ML infrastructure (e.g., AWS SageMaker, Lambda, S3, ECR) and containerized workflows (Docker, Kubernetes).
  • Proven experience designing, analyzing, and interpreting A/B tests in production environments, aligned to business or product goals, including defining success metrics and guarding against common statistical pitfalls.
  • Ability to work effectively with cross-functional partners (Product, Engineering, Analytics, Design, Data Engineering), translating between business context and technical solutions.
  • Strong problem-framing and prioritization skills, particularly in ambiguous or under-specified problem spaces.
  • Proficiency in SQL and Python, with experience using modern data and ML tooling.
  • Ownership mindset: proactively identifying problems worth solving, taking accountability for outcomes, and driving initiatives forward independently.

PREFERRED:
  • Hands-on experience with search, personalization, recommendations, ranking, or lifecycle modeling.
  • Experience with MLOps best practices, including model versioning, CI/CD for ML, monitoring, and operating models in containerized and orchestrated environments (Docker, Kubernetes).
  • Experience in e-commerce, marketplace, or subscription-based businesses.
  • Familiarity with working in environments with moderate technical debt or evolving data foundations.
  • Experience defining and owning metrics, experimentation frameworks, or model performance monitoring in production.
  • Demonstrated ability to influence beyond immediate project scope, shaping best practices, standards, or strategy across teams.

BELONG TO A BETTER COMPANY:
  • Comprehensive health benefits (medical, dental, vision, life and disability)
  • Competitive salary (DOE) + equity
  • 401k Employer Match
  • 9 Days of Observed Holidays
  • Flexible Paid Time Off
  • Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences
  • Ability to work in our beautiful office in Playa Vista
  • Free Thrive Market membership with exclusive employee discount
  • Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform

We're a community of more than 1 Million + members who are united by a singular belief: It should be easy to find better products, support better brands, make better choices, and build a better world in the process.
At Thrive Market, we believe in building a diverse, inclusive, and authentic culture. If you are excited about this role along with our mission and values, we encourage you to apply.
Thrive Market is an EEO/Veterans/Disabled/LGBTQ employer
At Thrive Market, our goal is to be a diverse and inclusive workplace that is representative, at all job levels, of the members we serve and the communities we operate in. We're proud to be an inclusive company and an Equal Opportunity Employer and we prohibit discrimination and harassment of any kind. We believe that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you're thinking about joining our team, we expect that you would agree!
Employment with Thrive Market requires that employees be based in the United States. This is a condition of employment and must be maintained throughout the duration of employment.
If you need assistance or accommodation due to a disability, please email us at eeo@thrivemarket.com and we'll be happy to assist you.
Ensure your Thrive Market job offer is legitimate and don't fall victim to fraud. Thrive Market never seeks payment from job applicants. Thrive Market recruiters will only reach out to applicants from an @thrivemarket.com email address. For added security, where possible, apply through our company website at www.thrivemarket.com.
© Thrive Market 2026 All rights reserved.
JOB INFORMATION
  • Compensation Description - The base salary range for this position is $175,000 - $190,000/Per Year.
  • Compensation may vary outside of this range depending on several factors, including a candidate's qualifications, skills, competencies and experience, and geographic location.
  • Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more!
  • This position requires traveling to our HQ office in Los Angeles, California, twice a year for all-company summits; once in the summer and once in the winter.

Apply