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Remote Marine Data Science Jobs in Minnesota (NOW HIRING)

Vervint

Director of Data Intelligence

Minneapolis, MN · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site +1

  • Medical

  • Retirement

  • PTO

Significant experience in AI/ML engineering with a strong data science background. * Demonstrated ... Supportive and flexible working environment, allowing remote work from anywhere.

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is remote with preference to align to one of Legence' s office locations. Key ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

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Showing results 21-40

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

Remote Marine Data Science information

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 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 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 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.

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

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

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

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

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

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

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

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

Remote Marine Data Science jobs near you
Infographic showing various Remote Marine Data Science job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Director of Data Intelligence

Vervint

Minneapolis, MN • On-site, Remote

Full-time

Re-posted 13 days ago

Job description

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred
Role Snapshot:
  • Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice.
  • Build the Practice: Stand up and scale offerings, capabilities, and team from the ground up.
  • Drive Growth: Deliver revenue expansion and measurable client impact.
  • Lead in the Market: Establish Vervint's presence and thought leadership in Data & AI.
  • Bring a Network: Leverage existing client relationships and/or a strong market presence to accelerate growth.

As the Director of Data Intelligence, you will lead the development and execution of Vervint's Data, Analytics & AI Practice. This is a builder role-responsible for defining service offerings, forming strategic partnerships, and driving both new business and client expansion.
Reporting to the President & Chief Consulting Officer, this leader is accountable for positioning Data & AI as a core growth engine for the firm. You'll bring a mix of strategic vision, hands-on leadership, and technical expertise to deliver meaningful outcomes for clients while building a differentiated, scalable practice.
What You'll Accomplish:
Strategy & Leadership
  • Define and own the firm's data, analytics, and AI vision, strategy, and roadmap.
  • Define and execute the vision, strategy, and roadmap for the Data and AI Practice, including service offerings, go-to-market strategies, and operational capabilities.
  • Represent Vervint at industry events, conferences, and webinars to showcase expertise in Data and AI.
  • Advise ELT on data-driven decision-making and AI opportunities that align with our business objectives.
  • Lead cross-functional alignment on data and AI initiatives across Sales, Practices, Finance, and Talent.

Client-Facing Innovation
  • Identify, engage, and acquire new customers by leveraging industry relationships, market insights, and sales strategies to drive revenue growth.
  • Serve as a strategic advisor and thought leader to clients on data and AI solutions.
  • Lead development and delivery of innovative Data and AI solutions, frameworks, and methodologies that address market demands and customer needs.
  • Establish and maintain relationships with key technology providers, vendors, and industry stakeholders to enhance the practice's capabilities.
  • Partner with Sales and Practices to embed data/AI into client offerings, proposals, and go-to-market strategies.

Team Building & Capability Development
  • Build and lead a high-performing team of data scientists, analysts, and engineers.
  • Promote a culture of innovation, experimentation, and continuous learning in data and AI.
  • Drive upskilling and data literacy across the organization.

AI IP & Emerging Technologies
  • Lead development of reusable frameworks, models, and IP that can be leveraged across client engagements.
  • Evaluate and recommend emerging tools and technologies for AI, data engineering, and analytics.

Governance & Ethical AI
  • Ensure responsible, ethical, and compliant use of data and AI.
  • Develop internal policies and frameworks for fairness, transparency, and risk mitigation in partnership with the internal IS team.

What You'll Bring:
  • A balance of strategic thinking and hands-on leadership.
  • Experience in business development, sales, and revenue growth strategies.
  • Ability to craft compelling proposals and present Data and AI solutions to executive-level stakeholders.
  • Passion for innovation and measurable impact.
  • Ability to bridge business strategy and technical execution.
  • A collaborative, entrepreneurial mindset aligned with a fast-paced, high-growth environment.
  • Proven success developing, executing, and selling enterprise data and AI strategies.
  • Deep expertise in data architecture, advanced analytics, machine learning, and emerging AI technologies.
  • Track record of building high-performing technical teams and scaling capabilities.
  • Strong executive presence and ability to communicate complex concepts to both technical and non-technical stakeholders.

Education/Experience:
  • 8+ years of experience in data, analytics, or AI leadership roles, preferably in a consulting or professional services environment.
  • Bachelor's degree in a related field required; Master's in Data Science, Computer Science, Engineering, or related field strongly preferred.

You Belong. At Vervint, we embrace all facets of identity that make you - you. From race, gender identity, and veteran status to disabilities and more, your lived experiences enrich everyone around you. We know when we create an environment of safety and respect for individuals and their identities, we all do our best work. That is why we celebrate our diversity, foster equity, and champion inclusion within our company, the work we do, and our communities. As we work together, we commit to continuous growth, learning from our mistakes, and expanding on our caring culture to bring our values to life.
Vervint is an equal opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veterans status, familial status, membership or activity in a local human rights commission, status regarding public assistance or any other characteristic protected by federal, state, or local laws, and will not be discriminated against on the basis of disability.

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