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Climate Research Scientist Machine Learning Jobs in Washington

GEICO

Senior Applied Research Scientist

Bethesda, MD · On-site

$115K - $230K/yr

Senior Research Scientist We are seeking a highly skilled Senior Research Scientist with a strong technical background and proven expertise in machine learning and artificial intelligence. As the AI ...

Geico

Senior Applied Research Scientist

Bethesda, MD · On-site

$115K - $230K/yr

Senior Research Scientist We are seeking a highly skilled Senior Research Scientist with a strong technical background and proven expertise in machine learning and artificial intelligence. As the AI ...

Cymertek Corporation

Machine Learning Engineer

Reston, VA · On-site

$110 - $170/hr

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Metron

Research Scientist

Reston, VA · On-site

... machine learning, signal processing, multi-variable optimization, mission planning and tactical ... Advanced degree in computer science, applied mathematics, physics, engineering, operations research ...

Metron

Research Scientist

Reston, VA · On-site

... machine learning, signal processing, multi-variable optimization, mission planning and tactical ... Advanced degree in computer science, applied mathematics, physics, engineering, operations research ...

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Climate Research Scientist Machine Learning information

What does a climate research scientist specializing in machine learning do?

A Climate Research Scientist who specializes in Machine Learning uses advanced algorithms and computational models to analyze climate data and improve predictions about climate change. They work with large datasets from satellites, weather stations, and simulations to identify patterns, make forecasts, and assess environmental impacts. Their work helps inform policy decisions, guide mitigation strategies, and advance our scientific understanding of the Earth's climate system. Collaboration with other scientists, governments, and organizations is often a key part of the role.

What are the key skills and qualifications needed to thrive as a climate research scientist specializing in machine learning?

To thrive as a Climate Research Scientist specializing in Machine Learning, you need a solid background in climate science, statistical analysis, and advanced machine learning techniques, typically supported by a graduate degree in a related field. Experience with programming languages like Python or R, familiarity with climate modeling software, and proficiency in machine learning frameworks such as TensorFlow or PyTorch are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you explain complex findings to diverse audiences and collaborate across disciplines. These skills and qualities are crucial for advancing climate research, developing innovative solutions, and informing policy decisions based on robust data analysis.

How do climate research scientists specializing in machine learning typically collaborate with multidisciplinary teams?

Climate Research Scientists with expertise in Machine Learning often work closely with meteorologists, data engineers, environmental scientists, and policy experts. They contribute by developing and refining predictive models using large climate datasets, while also translating complex outputs into actionable insights for decision-makers. Collaboration often involves regular team meetings, joint publications, and integrating domain expertise to ensure that the models are both scientifically robust and practically useful. Strong communication skills are valuable, as these scientists frequently explain technical concepts to colleagues from non-technical backgrounds.

What is the difference between Climate Research Scientist Machine Learning vs Climate Data Analyst?

AspectClimate Research Scientist Machine LearningClimate Data Analyst
Required CredentialsMaster's or PhD in Climate Science, Data Science, or related fields; knowledge of machine learningBachelor's or Master's in Environmental Science, Data Analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, environmental agencies, often collaborative and interdisciplinaryGovernment agencies, consulting firms, NGOs; focus on data processing and reporting
Employer & Industry UsageResearch institutions, academia, environmental organizations integrating machine learningPolicy organizations, environmental consultancies analyzing climate data

While both roles involve climate data, Climate Research Scientist Machine Learning focuses on developing predictive models using advanced algorithms, whereas Climate Data Analysts primarily process and interpret climate datasets to inform decisions. The former requires more specialized knowledge in machine learning techniques, while the latter emphasizes data management and reporting skills.

What are popular job titles related to Climate Research Scientist Machine Learning jobs in Washington?

For Climate Research Scientist Machine Learning jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Climate Research Scientist Machine Learning jobs in Washington look for?

The top searched job categories for Climate Research Scientist Machine Learning jobs in Washington are:

What cities in Washington are hiring for Climate Research Scientist Machine Learning jobs?

Cities in Washington with the most Climate Research Scientist Machine Learning job openings:

Climate Research Scientist Machine Learning jobs near you

Senior Applied Research Scientist

GEICO

Bethesda, MD • On-site

$115K - $230K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 363 frontline employees who took The Breakroom Quiz

166th of 310 rated insurance

Job description

Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Job Title: Senior Research Scientist
We are seeking a highly skilled Senior Research Scientist with a strong technical background and proven expertise in machine learning and artificial intelligence. As the AI Research team at GEICO continues to grow, you will serve as a tech lead driving end-to-end AI initiatives-from problem framing and experimentation to production deployment and adoption. You will set technical direction, architect scalable solutions, and mentor juniors while partnering closely with product, engineering, and domain experts to deliver measurable business impact.
Key Responsibilities:
  • Lead AI/ML Solution Design & Delivery: Lead the design and delivery of ML and GenAI solutions for complex, ambiguous, cross-functional problems. Define success metrics, validation plans, and pathways to production.

  • Technical Roadmapping & Partnership: Partner with product, engineering, and domain experts to translate business needs into feasible technical roadmaps, de-risking assumptions and aligning milestones to outcomes.

  • Experimentation & Causal Inference: Design online experiments and quasi-experimental analyses; instrument and monitor business KPIs to quantify value and inform decision-making.

  • Mentorship & Coaching: Mentor junior scientists and engineers, share best practices, and cultivate a high bar for scientific rigor, coding standards, and reproducibility.

  • Communication & Stakeholder Management: Communicate approach, trade-offs, and results to technical and non-technical audiences; provide realistic estimates and influence decision-making across the organization.

Key Competencies:
  • Technical Leadership: Proven ability to set technical direction and make authoritative decisions on modeling approaches, architecture, and trade-offs.

  • Scientific Rigor: Strong experimental design, statistical reasoning, and causal inference skills with an emphasis on measurable business outcomes.

  • Creativity & Problem Solving: Demonstrated ability to break down ambiguous problems and deliver pragmatic, scalable solutions.

  • Communication & Influence: Clear, structured communication that bridges technical and business stakeholders.

  • Mentorship: Track record of elevating teammates through code/design reviews and knowledge sharing.

  • Strategic Thinking: Aligns day-to-day execution with long-term platform, data, and business strategy.

  • Adaptability: Thrives in a fast-paced environment and adjusts to evolving priorities and constraints.

Minimum Requirements:
  • Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.

  • 3+ years of experience developing, deploying, and operating AI/ML models in production.

  • Strong proficiency in Python, data processing, and SQL, and in AI/ML frameworks such as PyTorch and Scikit-learn.

  • Experience designing online experiments and conducting causal analyses; demonstrated ability to define, instrument, and monitor business KPIs.

  • Proven experience leading end-to-end AI/ML initiatives and partnering cross-functionally with product and engineering.

Preferred Qualifications:
  • Experience with the design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs.

  • Experience with GenAI quality management, including evaluators, red-teaming, guardrails, and human-in-the-loop systems.

  • Familiarity with insurance operations and model governance in regulated environments.

Work Locations: Candidates must be open to the following locations:
  • Chevy Chase, Maryland

  • Palo Alto, CA

  • New York City, NY

Annual Salary
$115,000.00 - $230,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life's twists and turns with innovation and integrity.
Great Careers:Personalized development programs, mentorship, and certification assistance.
Great Culture:Inclusive and collaborative culture rooted in shared success.
Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

What GEICO employees say

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About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936

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