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Remote Marine Data Science Jobs (NOW HIRING)

The Data Science Analyst will leverage machine learning and statistical modeling to develop predictive models and deliver insights to stakeholders. Responsibilities : • Perform exploratory data ...

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch Group is looking for a transformative Head of Data Science to ...

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch Group is looking for a transformative Head of Data Science to ...

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... This is a full-time position About the Team The Data Science team provides critical insights and ...

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

VP, Data Science

$235K - $336K/yr

The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced ... This role is fully remote and not tied to any specific office location. While there are no regular ...

Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA ... in Data Science * Professional experience with, and more than a basic understanding of AI ...

... Area - Remote (candidates MUST BE located in the National Capital Region - DMV) • Clearance ... Elder Research is a data science consultancy specializing in predictive analytics, AI, and machine ...

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Remote Marine Data Science information

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$37.5K

$122.7K

$196.5K

How much do remote marine data science jobs pay per year?

As of Jul 6, 2026, the average yearly pay for remote marine data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote marine data scientists, and how can they be addressed?

Remote marine data scientists often encounter challenges such as limited access to real-time field data, large and complex datasets, and the need for effective collaboration with interdisciplinary teams. To overcome these, it's essential to leverage robust cloud computing tools for data storage and analysis, establish clear communication channels with field researchers, and stay updated with the latest marine data platforms and software. Building strong collaborative relationships and regularly participating in virtual team meetings can also help bridge the gap between remote and on-site team members.

What are the key skills and qualifications needed to thrive as a Remote Marine Data Scientist, and why are they important?

To excel as a Remote Marine Data Scientist, you need a strong background in marine science, statistics, and data analysis, typically supported by a relevant degree such as oceanography, marine biology, or data science. Familiarity with programming languages like Python or R, GIS software, and remote sensing tools is commonly required, along with experience using cloud-based collaboration platforms. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex datasets and share insights with interdisciplinary teams. These competencies ensure accurate analysis of marine environments, support informed decision-making, and enable efficient remote collaboration.

What is a Remote Marine Data Scientist?

A Remote Marine Data Scientist is a professional who analyzes data related to the marine environment, such as oceanographic, biological, or ecological information, while working from a remote location rather than onsite. They use statistical methods, machine learning, and programming skills to interpret large datasets from sources like satellites, sensors, and research vessels. Their work helps inform marine conservation, policy, and scientific understanding of oceans and marine life. Remote positions allow these scientists to collaborate with global teams and access data from anywhere with an internet connection.

What is the difference between Remote Marine Data Science vs Remote Marine Data Analyst?

AspectRemote Marine Data ScienceRemote Marine Data Analyst
Required CredentialsAdvanced degrees in data science, marine science, or related fields; programming skills in Python/R; statistical knowledgeBachelor's or master's in data analysis, marine science, or related fields; proficiency in Excel, SQL, and basic statistical tools
Work EnvironmentResearch teams, data modeling, algorithm development, often in collaborative or remote settingsData interpretation, reporting, visualization, often in remote or office environments
Employer & Industry UsageResearch institutions, environmental agencies, marine technology companiesMarine research firms, environmental consultancies, government agencies

Remote Marine Data Science involves developing models and algorithms to analyze complex marine data, requiring advanced technical skills. In contrast, Remote Marine Data Analysts focus on interpreting data, creating reports, and visualizations. Both roles are vital in marine industries but differ in technical depth and responsibilities.

More about Remote Marine Data Science jobs
What cities are hiring for Remote Marine Data Science jobs? Cities with the most Remote Marine Data Science job openings:
What are the most commonly searched types of Marine Data Science jobs? The most popular types of Marine Data Science jobs are:
What states have the most Remote Marine Data Science jobs? States with the most job openings for Remote Marine Data Science jobs include:
Data Science Analyst - Remote

Full-time

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


Premise Health rating

8.0

Company rating: 8.0 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

85th of 877 rated healthcare providers


Job description

Job Summary:
Premise Health is a company dedicated to providing exceptional healthcare to large organizations and their people. The Data Science Analyst will leverage machine learning and statistical modeling to develop predictive models and deliver insights to stakeholders.
Responsibilities:
• Perform exploratory data analysis to identify patterns and opportunities in healthcare data
• Develop predictive models and machine learning solutions under guidance of senior team members
• Document model methodology, assumptions, and results to ensure reproducibility
• Design text analytics and classification pipelines using LLMs and NLP techniques
• Build generative AI solutions including prompt engineering pipelines and LLM-based classification
• Develop and evaluate AI agent workflows for business process automation
• Work with LLM APIs and model serving endpoints to integrate AI into analytical solutions
• Partner with senior data scientists and stakeholders to align on project goals
• Communicate findings and methodologies clearly to technical and non-technical audiences
• Demonstrate a willingness to learn by incorporating feedback effectively
• Work with common healthcare data including claims, EHR, and laboratory datasets
• Write clean, well-structured, and documented code in Python, PySpark, SQL
• Use Git for version control and follow structured development practices
Qualifications:
Required:
• Bachelor’s or Master’s degree in Business Analytics, Data Science, Computer Science, Statistics, or a related STEM field; or completion of an accredited data science or applied AI program
• 3+ years of experience in data science, AI/ML or advanced analytics
• Coursework or projects in applied machine learning and neural networks
• Coursework or projects involving generative or agentic AI, LLMs, or NLP
• Experience with Python, SQL, and common ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, Hugging Face, etc.)
• Familiarity with deploying ML/predictive models to production environments
• Understanding of statistical methods, AI/ML algorithms, neural networks, and deep learning concepts
• Familiarity with generative AI concepts: prompt engineering, LLM APIs, and retrieval-augmented generation (RAG)
• Exposure to agentic AI concepts and frameworks (e.g., LangChain, LangGraph, etc.)
• Familiarity with Python, SQL, and Git (version control)
Preferred:
• Healthcare data experience preferred
• Experience with the following is a plus: Cloud: Azure, Databricks
• Version Control: GitLab
• IDE: VS Code
Company:
Premise Health offers online health programs for organizations. Founded in 2010, the company is headquartered in Brentwood, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Premise Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Premise Health

Sourced by ZipRecruiter

Premise Health is the world's leading direct healthcare provider and one of the largest digital providers in the country, serving over 11 million eligible lives across more than 2,500 of the largest commercial and municipal employers in the U.S. Premise partners with its clients to offer fully connected care - in-person and in the digital environment. It operates more than 800 onsite and nearsite wellness centers in 45 states and Guam, delivering care through the Digital Wellness Center and onsite, nearsite, mobile, and event solutions. Premise delivers value by simplifying complexity and breaking down barriers to give diverse member populations access to convenient, integrated, high-quality care. We offer more than 30 products, delivering the breadth and depth of care required to serve organizations' total populations. The result is healthcare that meets the needs of members and their families, helping them live healthier while lowering costs for organizations.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Brentwood, TN, US

Year founded

1975