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Remote Marine Data Science Jobs in Oregon (NOW HIRING)

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to ... Remote

Instacart

Senior Product Manager, Shopping Experience

OR · On-site +1

$126K - $166K/yr

You'll partner closely with design, research, engineering, data science, and go-to-market teams to ... We're a remote-friendly, fast-moving team that values clear communication, ownership, and ...

Upstart

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Elite Technology

Group Product Manager, AI and Data

OR · On-site +1

$171K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Remote, United States This role requires the individual to be based in Eastern Standard Time (EST ... Bachelor's Degree in Computer Science, Engineering, Data Science, Statistics, Economics, or a ...

Instacart

Senior Product Manager, AI

OR · On-site +1

$126K - $166K/yr

Partner with engineering and data science to scope experiments, manage backlogs, define KPIs and ... Remote

Natera

Medical Science Liaison

OR · On-site +1

Act as a subject matter expert on oncology disease states, clinical data, and the broader ... This is a remote, field-based position requiring daily use of a computer and the ability to travel ...

Natera

Medical Science Liaison

OR · On-site +1

Maintain an expert understanding of oncology disease states, clinical data, and the evolving ... This is a remote, field-based position requiring daily use of a computer and the ability to travel ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

  • Retirement

  • PTO

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Bachelor's degree in Computer Science, Engineering, or a related field * 5+ years of experience in ...

YipitData

Senior Data Product Analyst

OR · On-site +1

  • Retirement

  • PTO

Product New York, NY (Remote-Friendly) About the Role YipitData is making one of its most ambitious ... engineering, data science, market intelligence, alternative data, or a closely related field.

Five9

Data Center Engineer (in Atlanta, GA)

OR · On-site +1

Communicate and coordinate with remote hands in remote data centers, providing technical direction ... Bachelor of Science degree in Computer Science or equivalent experience

Upstart

Principal Applied Scientist

OR · On-site +1

Experience solving real-world machine learning or data science problems in a high-impact production ... Remote Time zone requirements The team operates on the East/West coast time zones.

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Showing results 41-60

All JobsMarine Data Science JobsRemote Marine Data Science JobsRemote Marine Data Science Jobs in Oregon

Remote Marine Data Science information

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?

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.

How to become a remote marine data scientist?

To become a remote marine data scientist, you typically need a strong background in marine science, data analysis, and programming skills in languages like Python or R. Relevant experience with data modeling, GIS tools, and knowledge of marine ecosystems are also important, along with a bachelor's or master's degree in a related field.

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.

Can I work remotely as a remote marine data scientist?

Yes, remote marine data scientists can often work from anywhere with a reliable internet connection, as their tasks typically involve analyzing data, programming, and using tools like Python or R. Many organizations in environmental research, conservation, and maritime industries offer remote positions, especially for professionals with strong analytical skills and experience in data management. However, some roles may require on-site presence for fieldwork or data collection activities.

What are the most commonly searched types of Marine Data Science jobs in Oregon?

The most popular types of Marine Data Science jobs in Oregon are:

What are popular job titles related to Remote Marine Data Science jobs in Oregon?

For Remote Marine Data Science jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Marine Data Science jobs in Oregon look for?

The top searched job categories for Remote Marine Data Science jobs in Oregon are:

What cities in Oregon are hiring for Remote Marine Data Science jobs?

Cities in Oregon with the most Remote Marine Data Science job openings:

Remote Marine Data Science jobs near you

Data Engineer

Tebra

OR • On-site, Remote

$114K - $137K/yr

Full-time

Posted 20 days ago

Job description

About the Role

As a Data Engineer focused on AI/ML, you'll build, maintain, and optimize the data infrastructure that powers Tebra's intelligent features. You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to transform complex healthcare data into high-quality datasets and real-time features that enable machine learning models.

This is a hands-on engineering role where you'll contribute to scalable data pipelines, improve data quality, and help ensure our AI systems are powered by reliable, performant, and well-governed data. You'll work on modern data platforms and gain experience building solutions that support both model training and production inference.

Your Area of Focus
  • Design, build, and maintain scalable data pipelines for feature extraction, training data generation, and model monitoring.
  • Develop and enhance data systems that support analytics and machine learning workloads, including data lakehouse and feature store technologies.
  • Monitor production data pipelines, identify data quality issues or pipeline failures, and implement improvements to ensure reliability and freshness.
  • Participate in engineering design discussions and contribute to technical decisions around data architecture and pipeline implementation.
  • Build reusable data engineering components, including automated data quality checks, schema validation, and testing frameworks.
  • Translate business requirements into scalable data solutions that enable analytics and machine learning use cases.
  • Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and scalability.
  • Collaborate with ML Engineers and cross-functional partners to support MLOps best practices, including data versioning, lineage, and reproducibility.
  • Break down technical work into manageable tasks and deliver high-quality solutions within an agile team.
Your Professional Qualifications
  • 3+ years of professional experience in Data Engineering, Software Engineering, or a related field.
  • 2+ years of hands-on experience building and maintaining production data pipelines supporting analytics, reporting, or machine learning workloads.
  • Strong proficiency in Python and SQL with experience developing production-quality data pipelines.
  • Experience with modern data processing technologies such as Spark, Airflow, Kafka, or similar distributed data platforms.
  • Experience working with cloud-based data platforms such as Databricks, Snowflake, Delta Lake, or equivalent lakehouse technologies.
  • Understanding of data modeling, data warehousing, and data governance best practices.
  • Familiarity with machine learning data workflows, including training datasets, feature engineering, and data quality concepts.
  • Experience deploying and supporting production data pipelines with monitoring, testing, and CI/CD practices.
  • Strong problem-solving skills, attention to detail, and the ability to collaborate effectively across engineering and product teams.
  • Excellent communication skills and a desire to continuously learn new technologies and engineering practices.

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