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Remote Marine Data Science Jobs (NOW HIRING)

Engine

Manager, Data Science

$169K - $235K/yr

Your Mission We are seeking a Manager of Data Science to lead our talented team of data scientists ... Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you ...

Corning

Data Scientist (Remote)

Corning, NY · On-site +1

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... Remote Role Summary The Data Scientist II / III role is an exciting opportunity to join Corning ...

The Hartford

Director of Data Science

Charlotte, NC · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Merican

Data Science & Machine Learning Engineer

$117K - $140K/yr

Remote, USA (Client Location ZIP: 01730) Duration: 6 Months Contract to Hire We are seeking an experienced Senior Data Science & Machine Learning Engineer to design, build, and deploy scalable data ...

Mercor

Data Scientist

New York, NY · Remote

$70 - $100/hr

Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

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All JobsRemote Marine Data Science Jobs

Remote Marine Data Science information

See salary details

$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:
What job categories do people searching Remote Marine Data Science jobs look for? The top searched job categories for Remote Marine Data Science jobs are:
Remote Marine Data Science jobs near you
Manager, Data Science

Manager, Data Science

Engine

Remote

$169K - $235K/yr

Full-time

Posted 23 hours ago

Job description

About Engine
At Engine, we're transforming business travel into something personalized, rewarding, and simple. For too long, managing travel and spend has been overwhelming and fragmented - we're here to change that. We believe the future of travel should be seamless and powered by technology that delights customers at every step. That's why we're building a platform that brings together corporate travel, a powerful charge card, and modern spend management in one place.
To make this vision real, we're looking for exceptional, mission-driven people to help redefine how businesses manage and experience travel.
More than 30,000 companies already rely on Engine to support over 1 million travelers and billions in annual bookings each year. Cash flow positive with rapid growth, we pair exclusive Engine-only rates, industry-leading rewards, and intelligent automation to help businesses save money while delivering world-class personalization and convenience.
Backed by Telescope Partners, Blackstone, and Permira, Engine has been recognized as one of the fastest-growing travel and fintech platforms in North America, with honors including the Deloitte Fast 500 and Built In's Best Places to Work.
Your Mission
We are seeking a Manager of Data Science to lead our talented team of data scientists and drive the execution of our AI roadmap. In this role, you will balance technical mentorship with project management, transforming business requirements into scalable machine learning solutions. You will be a player-coach who enjoys staying close to the code while helping your team grow, ensuring that our models for pricing, personalization, and fraud detection deliver measurable business impact.
Key Responsibilities
  • Team Leadership: Lead and mentor a high-performing team of Data Scientists, providing technical guidance and supporting their professional development.
  • Execution & Delivery: Own the end-to-end lifecycle of ML models-from data exploration and prototyping to deployment and monitoring.
  • Cross-Functional Collaboration: Partner with Product, Engineering, and Business teams to translate complex business problems into actionable data science projects.
  • Technical Excellence: Maintain high standards for code quality, documentation, and model validation; conduct rigorous peer reviews.
  • Experimentation: Lead the design and analysis of A/B tests and experimentation frameworks to measure the impact of new features.
  • Scalability: Work with Data Engineering to ensure our data pipelines and infrastructure support high-velocity model iteration.
  • Insights to Action: Commmunicate technical results to non-technical stakeholders, ensuring data insights drive day-to-day business decisions.
What You'll Bring to Engine
We're looking for someone who's ready to make an impact and grow alongside us:
  • Experience: 7+ years of experience in Data Science, with at least 1-2 years in a formal or informal leadership role (e.g., Lead Data Scientist or People Manager).
  • Technical Mastery: Deep expertise in machine learning, predictive modeling, and statistical analysis.
  • Tech Stack: Expert-level proficiency in Python, SQL, and ML frameworks such as Scikit-Learn, TensorFlow, or PyTorch.
  • Cloud & Data: Experience working with large-scale datasets and cloud environments (AWS, GCP, or Azure).
  • Industry Knowledge: Experience in B2B, marketplace, travel, or e-commerce industries is highly preferred.
  • Communication: Proven ability to "bridge the gap" between technical execution and business value.
  • Education: Advanced degree (Master's or PhD) in a quantitative field (CS, Stats, Math, Physics) is a plus.

Applications for this role will be accepted through 07/01/2026 or until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline.
Compensation
Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, total compensation may include equity and/or variable pay (OTE). Your recruiter will share your complete compensation package as you move through the process.
Base Pay Range
$169,830-$235,000 USD
The Engine Edge: Perks & CompensationWe believe in rewarding great work with great benefits:
  • Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
  • Benefits: Check out our full list at engine.com/culture.
  • Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you need to succeed.

Perks and benefits may vary based on employment type, location, and more.
Ready to Build the Future of Work Travel?Join us on our mission to transform how work travel works-for businesses, for travelers, and for the industry. Apply now and let's make travel simpler, smarter, and more enjoyable-together.

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