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Full Time Marine Data Science Jobs (NOW HIRING)

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

$40/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

This is a full-time position About the Team The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test ...

Job Type Full-time Description Paylocity is an award-winning provider of cloud-based HR and payroll ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

Description We're seeking an exceptional, hands-on Data Scientist with deep expertise in data ... San Francisco Employment Type: FULL_TIME

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Data Science Manager

New York, NY · On-site

$210K - $230K/yr

You'll sit within our Data Science team, owning the direction of a group of talented data ... Lemonade's US base salary range for this full-time position is $210,000 - $230,000 plus equity ...

You will receive the same orientation training as our full-time engineers, you will be matched with ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

General information Job Posting Title Data Science Manager Date Tuesday, May 12, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is seeking a Data ...

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Full Time Marine Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do full time marine data science jobs pay per year?

As of May 28, 2026, the average yearly pay for full time 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 is the difference between Full Time Marine Data Science vs Full Time Marine Data Analyst?

AspectFull Time Marine Data ScienceFull Time Marine Data Analyst
Required CredentialsDegree in Marine Science, Data Science, or related field; knowledge of programming languages like Python or RDegree in Marine Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentResearch vessels, marine research centers, data labsMarine research facilities, government agencies, environmental organizations
Employer & Industry UsageMarine research institutions, environmental consultancies, government agenciesMarine research institutions, environmental agencies, consulting firms

Full Time Marine Data Science involves developing predictive models and advanced analytics using programming and machine learning, while Full Time Marine Data Analyst focuses on interpreting data, creating reports, and supporting decision-making. Both roles require marine science knowledge but differ in technical complexity and scope.

What cities are hiring for Full Time Marine Data Science jobs? Cities with the most Full Time 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 Full Time Marine Data Science jobs? States with the most job openings for Full Time Marine Data Science jobs include:
Data Science Consultant

Data Science Consultant

DataAnnotation

Lansing, MI • On-site, Remote

$40/hr

Full-time

Posted 16 days ago


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr