Climate Data

Climate Data Jobs

3 jobs found

8d ago

Environmental Data Scientist

Lynker Corporation Boulder, CO

Boulder, CO

8d ago

$75k - $105k/yr Full time Climate Data Data Analysis Data Architecture

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Job Description

Lynker Corporation is hiring an Environmental Data Scientist in Boulder, CO (onsite) to build reproducible environmental and geospatial data products that support operational weather forecasts.

Responsibilities

Organize, catalog, and structure heterogeneous environmental and geospatial datasets using consistent metadata and controlled vocabularies, including clear provenance for repeatable combinations.
Contribute to defining how rules and analytical logic are represented, versioned, and evaluated against layered datasets, with traceable analytical lineage from inputs to results.
Specify analytical inputs and outputs (data, results, and metadata), define schemas for them, and define how those schemas evolve over time.
Apply environmental and hydrologic domain knowledge to determine how data is weighted, interpreted, and encoded into rules.
Develop checks, test cases, and validation logic to ensure rules produce correct, explainable, and consistent outcomes.
Document data schemas, analytical logic, and data sources; collaborate across Science, Engineering, and Platform teams to keep the system understandable, accessible, and maintainable.

Requirements

Master’s degree in environmental science or a related field (environmental science, ecosystem science, water resources, hydrology, earth science, environmental data science), or a Bachelor’s plus 2 years applying data science to environmental problems, or equivalent hands-on experience.
Strong environmental and data science background, including the ability to reason about how environmental evidence should be represented and combined.
Proficiency in a data science language such as R or Python for data wrangling, analysis, and modeling.
Working knowledge of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine).
Comfort with structural thinking about data schemas, inputs, and outputs, and translating domain logic into clear, testable rules.
Strong technical and scientific writing skills.

Technologies

R, Python
ArcGIS, QGIS
Google Earth Engine
GIS tooling
USGS, NOAA, PRISM

Benefits

Comprehensive healthcare for the employee at no monthly cost
Healthcare covers medical, prescription drug, dental, and vision
Personal Time Off (PTO) policy plus paid holidays
Highly competitive compensation plan regularly calibrated against industry and location benchmarks
401(k) retirement plan with company matching
Employee Stock Ownership Plan (ESOP)
Flexible spending accounts
Employee assistance program (EAP)
Short- and long-term disability insurance
Life and accident insurance
Tuition assistance/Training/Workforce improvement reimbursement per year
Spot bonuses for exceptional performance
Annual Employee Recognition Awards with bonuses
Employee Referral Program
Free centralized, self-directed Learning Management System to learn at your own pace
Personalized career growth plans for every employee

Ideal Background

Experience designing data schemas, structured formats, or APIs, and defining inputs and outputs for downstream consumers.
Familiarity with rules-based or decision-support systems and approaches for making logic transparent and explainable.
Experience integrating multiple public and agency data sources (e.g., USGS, NOAA, PRISM) for watershed or environmental analysis.
Exposure to machine learning or statistical modeling applied to environmental data.
Track record of scientific writing, publication, or open-source contribution.
Colorado Front Range presence for periodic in-person collaboration.

Location: Boulder, CO (onsite)

Experience: 2+ years

Salary: USD 75,000 - 105,000 per year

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12d ago

Staff Data Scientist, Weather

Waymo Mountain View, CA

Mountain View, CA

12d ago

$251k - $310k/yr Full time Climate Data Data Analysis Data Analytics

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Job Description

Waymo is seeking a Staff Data Scientist with a focus on weather intelligence to lead the modeling of weather patterns and evaluate how adverse conditions impact driver performance. This hybrid role in Mountain View, California collaborates across data science and engineering to integrate weather data sources and strengthen measurement signals, enabling deployment and scalable improvements. The compensation range for this position is USD 251,000 - 310,000 per year.

Responsibilities

Establish and maintain rigorous evaluation standards to ensure deployment, scaling, and mitigation decisions are informed by reliable signals; identify gaps where signals fail to scale with the business or lack actionable insights, and drive remediation.
Develop data pipelines and predictive models that fuse a range of weather data streams (first-party, second-party, third-party) to enhance Waymo's weather intelligence and forecast capability.
Assess driver performance under adverse weather (fog, rain, snow, ice, hail, flooding) and provide input on readiness to scale in challenging conditions; present findings to senior stakeholders.
Create scalable, repeatable analysis frameworks that support multiple climate types across domestic and international contexts.
Streamline operational processes for addressing adverse weather across diverse geographies to improve responsiveness and efficiency.
Build a deep understanding of Waymo's long-term roadmap and collaborate with product, engineering, and systems teams to unlock deployment milestones; influence engineering plans to enhance measurement capabilities.
Act as both a hands-on contributor and a technical lead for junior data scientists, framing and solving ambiguous problems by prioritizing tasks and innovating statistical methods while promoting data science excellence across the organization.

Requirements

A degree in a quantitative field (for example Statistics, Mathematics, Physics).
PhD in a quantitative area with 8+ years of industry experience, or 12+ years solving data science problems in industry.
Experience building and deploying models for spatio-temporal data.
Proven experience as a technical lead.
Experience collaborating in highly cross-functional teams and fostering a data-driven culture.
Expertise in advanced statistical methods applied to real-world problems; familiarity with ML systems and models.
Demonstrated proficiency with data analysis libraries and packages in Python, R, and SQL.

Technologies

Python
R
SQL

We Prefer

PhD in a quantitative field related to weather (Atmospheric Science, Meteorology, Hydrology, etc.) or substantial academic work applying statistical methods in these domains.
Experience integrating third-party (public/private) weather data sources alongside other data sources.
Background solving weather modeling or forecasting problems.
A track record of independently driving data science projects to deliver measurable business value.
Experience with large-scale evaluation frameworks used in software development.

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30d ago

Data Scientist

US National Oceanic and Atmospheric Administration Boulder, CO

Boulder, CO

30d ago Closed

$75k - $137k/yr Full time Python Analytics Arcgis Online

This position is no longer accepting applications (closed Aug 14, 2026).

Job Description

NOAA is seeking a Data Scientist to build models, analyze weather and ocean data, and create visualizations that support decision makers.

Location: Boulder, CO onsite • Salary: USD 74,678 - 137,128 per year • Education: Bachelor's degree in mathematics, statistics, computer science, data science or related field • Experience: 1 year minimum

Responsibilities

Serve as a weather and ocean subject matter expert to define, track, and share requirements for user needs and research, observation, and service needs related to new decision support products and services for decision makers.
Collaborate with NOAA Line Offices, Laboratories, and Programs to improve operational service provision, research transition, and integration of weather and ocean data to support user decision making.
Analyze complex weather and ocean datasets (geospatial, time series) to develop models, predictions, and insights using desktop software (R, Python, ArcGIS Pro) and web platforms (Esri Notebooks, ArcGIS Online, Jupyter Notebooks, Google Earth Engine). Design data management processes for interoperable formats (NetCDF) and data services (ERDDAP).
Assist in developing engaging visualizations of weather and ocean data and analyze with modern interactive and web-based approaches (Leaflet, R Shiny, Plotly Dash, and similar tools).

Requirements

U.S. Citizens only.
Suitable for Federal employment as determined by a background investigation.
Must be registered for Selective Service, if applicable (www.sss.gov).
Qualification requirements must be met by the closing date of the announcement.
One year probationary period may be required.
Relocation expenses (PCS) are not authorized.
Moderate Risk Security Clearance required.
Background investigation will be required; continued employment contingent on successful completion and favorable adjudication. Failure to meet requirements may result in termination.

Technologies

Python
R
ArcGIS Pro
Esri Notebooks
ArcGIS Online
Jupyter Notebooks
Google Earth Engine
NetCDF
ERDDAP
Leaflet
R Shiny
Plotly Dash

This job is open to

The public: U.S. Citizens, Nationals or those who owe allegiance to the United States.
Career transition (CTAP, ICTAP, RPL): Federal employees whose job, agency, or department was eliminated and are eligible for priority over other applicants.

Open to clarification from the agency

Open to the Public and Career transition (CTAP, ICTAP, RPL).

Additional Information

ICTAP and CTAP candidates may receive selection priority if well qualified. See Career Transition Resources for details.
ICTAP applicants must submit specific documentation, including relevant RIF notices or certification from the former agency, SF-50, performance appraisals, and other eligibility materials.
CTAP applicants must submit documentation such as RIF notices, CES, SF-50, and related eligibility documents.
Reasonable Accommodation requests for the USA Hire Assessments may be submitted if you have a disability; requests must be received before starting assessments.
NOAA participates in E-Verify to verify employment eligibility.
The Federal Government is an Equal Opportunity Employer; hires are not based on race, sex, color, religion, or national origin.

How to apply

Read the entire announcement and all instructions before applying. Submit all required questionnaires, assessments, and documents by the closing time (11:59 PM ET) to be considered.
Click the blue "Apply Online" button to begin.
If you are not a USAJOBS user, create an account; if you are a registered user, log in to proceed.

Required Documents

Resume: Up to two pages; include job title(s), duties, starting and ending dates; indicate full-time or part-time and weekly hours if applicable. Consider using the USAJOBS Resume Builder to ensure all required information is included.
Unofficial Transcripts: Proof of higher education is required for this position.
Special Instructions for Foreign Education: If education was completed outside the U.S., provide an equivalency evaluation letter from an accredited organization.
CTAP and ICTAP documentation, if applicable: Include the required notices and SF-50 documentation as detailed in the announcement.

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