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Snow Science Jobs (NOW HIRING)

Ski Patrol

Sun Valley, ID

$16.50 - $22.25/hr

... snow science, perform snowpack evaluation, and assist with avalanche mitigation as required * Perform high-angle resuces and trauma response * Maintain accurate daily logs and complete incident ...

Ski Patrol

Sun Valley, ID

$16.50 - $22.25/hr

... snow science, perform snowpack evaluation, and assist with avalanche mitigation as required * Perform high-angle resuces and trauma response * Maintain accurate daily logs and complete incident ...

Ski Patrol

Sun Valley, ID · On-site

$16.50 - $22.25/hr

... snow science, perform snowpack evaluation, and assist with avalanche mitigation as required * Perform high-angle rescues and trauma response * Maintain accurate daily logs and complete incident ...

Ski Patrol

Sun Valley, ID · On-site

$16.50 - $22.25/hr

... snow science, perform snowpack evaluation, and assist with avalanche mitigation as required * Perform high-angle resuces and trauma response * Maintain accurate daily logs and complete incident ...

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Snow Science information

See salary details

$24.5K

$48.4K

$79K

How much do snow science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for snow science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Snow Science position, and why are they important?

To thrive in Snow Science, you need a background in earth sciences or meteorology, with expertise in snowpack analysis, avalanche forecasting, and strong quantitative research skills, often supported by a relevant degree. Familiarity with snow measurement instruments, GIS mapping software, and avalanche training certifications like AIARE is typically required. Strong analytical thinking, clear communication, and the ability to work effectively in challenging, outdoor environments are essential soft skills. These abilities are crucial for accurately assessing snow conditions, mitigating avalanche risks, and supporting public safety in mountainous regions.

What can you do with a snow science degree?

A snow science degree prepares individuals for careers in avalanche forecasting, snowpack analysis, and environmental research related to snow and winter conditions. Graduates often work for government agencies, research institutions, or outdoor recreation companies, utilizing skills in data collection, analysis, and fieldwork. Certifications in avalanche safety and proficiency with specialized tools are also valuable for employment in this field.

What jobs pay 4000 a week without a degree?

In snow science or related fields, high-paying roles such as experienced snow safety managers, avalanche consultants, or specialized equipment operators can sometimes earn around $4,000 weekly, especially with extensive experience and certifications. These roles often require technical skills, safety training, and working in challenging outdoor environments, but they typically do not require a college degree.

What is a Snow Science job?

A Snow Science job involves studying the physical properties of snow, ice, and avalanches to improve safety, recreation, and environmental research. Snow scientists analyze snowfall patterns, assess avalanche risks, and develop mitigation strategies. They often work in the field collecting data, using remote sensing technology, and collaborating with meteorologists or engineers. Jobs in this field exist within government agencies, research institutions, ski resorts, and environmental organizations.

What is the highest paying wildlife job?

In wildlife careers, senior positions such as wildlife managers, conservation directors, or research scientists tend to have the highest salaries, often exceeding $80,000 annually. These roles typically require advanced degrees, specialized skills, and extensive field or research experience.

What does a snow scientist do?

A snow scientist studies snow and ice to understand their properties, formation, and behavior in various environments. They often analyze snowpack stability, use tools like snow pits and sensors, and work in outdoor conditions to assess avalanche risks and climate impacts.

What are typical daily responsibilities for a Snow Scientist?

As a Snow Scientist, your daily responsibilities may include collecting field data on snowpack stability, analyzing weather patterns, and conducting avalanche hazard assessments. You often collaborate with ski patrol teams, researchers, and regional avalanche centers to share data and inform safety protocols. The role also involves using specialized instruments and software to create detailed reports and forecasts. You can expect a combination of outdoor fieldwork and office-based data analysis, making adaptability and strong observational skills important for success.

More about Snow Science jobs
What cities are hiring for Snow Science jobs? Cities with the most Snow Science job openings:
What are the most commonly searched types of Snow Science jobs? The most popular types of Snow Science jobs are:
What states have the most Snow Science jobs? States with the most job openings for Snow Science jobs include:
Infographic showing various Snow Science job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.
John Snow Labs US-Based Healthcare Data Scientist

John Snow Labs US-Based Healthcare Data Scientist

John Snow Labs

Lewes, DE

Contractor

Re-posted 6 days ago


Job description

Company Description

John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award.

John Snow Labs is the developer of Spark NLP - the world's most widely used NLP library in the enterprise - and is the world's leading provider of state-of-the-art clinical NLP software, powering some of the world's largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 33% hold a Ph.D. or M.D. and 75% hold at least a Master's degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.

Job Description

John Snow Labs is seeking a highly skilled and motivated Data Scientist to contribute to transformative initiatives within the healthcare industry. The ideal candidate will possess a strong background in developing and optimizing machine learning models, specifically within healthcare contexts. We are looking for a results-oriented individual proficient in training and fine-tuning models, building robust, production-ready model inference pipelines, and conducting comprehensive exploratory data analysis and data enrichment.

Qualifications

Key Responsibilities:

  • Train, fine tune, and enhance LLM & NLP models using the open-source Python library ecosystem. Experience with LLMs, Generative AI, and deep learning is a significant advantage.
  • Build data science and data engineering pipelines specific to analyzing clinical data, such as extracting information from medical text or images, or integrating uncertain information from multiple medical data sources.
  • Collaborate with our team on customer-facing projects, utilizing your expertise to create advanced machine learning, deep learning, large language models, and time series forecasting pipelines tailored to address specific business needs.
  • Ensure models are validated for issues like bias, overfitting, and concept drift to ensure reliability and effectiveness.
  • Engage directly with customers, requiring strong oral and written communication skills to convey complex technical concepts clearly.

Mandatory Skills:

  • Proven experience in consistently delivering real-world projects covering the key responsibilities. Knowledge that is limited to an academic setting, or to using existing APIs to building applications, is not sufficient for this role.
  • Hands-on experience with OMOP, FHIR, clinical terminologies, and understanding of the patient journey.
  • Strong background in healthcare-related fields such as medicine, pharma, bioinformatics, or biostatistics is highly beneficial.
  • A PhD in a relevant field is preferred but not required if exceptional experience is demonstrated.
  • Experience with John Snow Labs' technology stack, such as Spark NLP or the medical language models, is a plus.

What We Offer:

  • A chance to work on cutting-edge problems in healthcare and life sciences, contributing to meaningful projects that impact patient outcomes.
  • Long-term freelancing contracts with a commitment of at least 30 hours per week. We are seeking individuals, not agencies or teams.
  • The opportunity to grow your skills and knowledge, working with a team of big data and data science experts in a supportive, collaborative environment.

To apply, please include the words 'John Snow Labs' in your cover letter and detail why you believe you are the best fit for this role. This is more than just a contract - it's a chance to make a real difference.

Additional Information

Our Commitment to You  

At John Snow Labs, we believe that diversity is the catalyst of innovation. We're committed to empowering talented people from every background and perspective to thrive.   

 We are an award-winning global collaborative team focused on helping our customers put artificial intelligence to good use faster. Our website includes The Story of John Snow, and our Social Impact page details how purpose and giving back is part of our DNA. More at JohnSnowLabs.com 

  • We are a fully virtual company, collaborating across 28 countries.
  • This is a contract opportunity, not a full-time employment role.
  • This role requires the availability of at least 30-40 hours per week.