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Remote Marine Data Science Jobs in Minnesota (NOW HIRING)

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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 Minnesota?

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

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.

Senior Product Manager, (Payer/Provider )Network Strategy & Optimization - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$129K - $170K/yr

Full-time

Retirement

Re-posted 18 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

188th of 887 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

The Senior Product Manager - Network Optimization is responsible for owning the strategy, prioritization, and execution of the Network Optimization module within the Value Connect platform. This role focuses on capabilities that optimize provider networks across access, cost, quality, and performance, enabling payers and providers to make data-driven network decisions.

This role partners closely with engineering, data science, network operations, actuarial, clinical, and business stakeholders to translate complex network performance and cost-of-care challenges into scalable, analytics-driven product capabilities. The Senior Product Manager operates with strong technical and analytical product acumen, driving disciplined execution across discovery, delivery, and optimization while aligning to broader Value Connect platform strategy.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

  • Network Optimization Product Strategy
    • Owns the product vision and strategy for the Network Optimization module within Value Connect
    • Defines clear product-level goals, problem statements, and outcome-based success measures tied to network cost, access, and performance
    • Identifies and prioritizes optimization use cases such as network adequacy, steerage, leakage reduction, provider performance, and cost efficiency
    • Partners with network, actuarial, and clinical stakeholders to ensure solutions align to real-world network management workflows
    • Incorporates customer, market, and competitive insights to inform product tradeoffs and sequencing decisions
  • Roadmap Ownership, Prioritization & Delivery
    • Owns the end-to-end product roadmap and backlog for the Network Optimization module
    • Drives prioritization across the Product Development Roadmap, Product Backlog, and Sprint Backlog based on value, feasibility, and risk
    • Ensures delivery sequencing maximizes measurable financial impact, operational efficiency, and customer adoption
    • Partners with engineering and data science to define and track OKRs tied specifically to network optimization outcomes
    • Monitors delivery progress and recommends scope or sequencing adjustments to maintain focus on highest-impact optimization capabilities
  • Technical Product Leadership & Data Alignment
    • Serves as the primary product partner to engineering and data science teams delivering network optimization analytics and workflows
    • Translates optimization use cases into clear functional requirements, data needs, and acceptance criteria
    • Ensures alignment to Value Connect data models, analytics standards, and architectural patterns
    • Identifies opportunities to reuse data assets, analytics, and workflows across Value Connect modules
    • Balances near-term delivery with long-term scalability, performance, explainability, and data quality
  • Agile Execution & Operational Excellence
    • Applies agile product management best practices to drive predictable, high-quality delivery of optimization capabilities
    • Reinforces a shared Definition of Done for analytics-driven features and insights
    • Uses agile product development tools to manage roadmaps, dependencies, and delivery metrics
    • Partners with delivery leadership on capacity planning and sequencing across analytics and engineering workstreams
    • Identifies execution risks related to data availability, model readiness, or integration dependencies and drives mitigation plans
  • Customer Outcomes & Product Performance
    • Owns success metrics for the Network Optimization module, including financial impact, adoption, usability, and operational performance
    • Ensures the right optimization problems are being solved through continuous discovery, testing, and validation
    • Partners with internal and external customers to validate network optimization insights and workflows
    • Drives continuous improvement of optimization capabilities based on performance data and customer feedback
    • Provides transparent reporting on product outcomes, learnings, and tradeoffs to stakeholders
  • Cross-Functional Collaboration & Influence
    • Collaborates closely with engineering, data science, network operations, actuarial, clinical, and business teams
    • Communicates product decisions, tradeoffs, and progress related to the Network Optimization module to senior stakeholders
    • Anticipates cross-module dependencies and proactively addresses alignment challenges within Value Connect
    • Navigates competing priorities through data-driven, customer-centric decision-making

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 10 years overall experience in healthcare, technology, or analytics-driven product environments
  • 5 years in product management roles supporting complex, data-driven products
  • 5 years of experience in network management, provider relations, or network development for payer and/or provider organizations
  • 5 years of experience with healthcare network analytics, cost-of-care analytics, or value-based care analytics domains for payer and/or provider organizations
  • Proven experience leading highly matrixed, cross-functional initiatives
  • Experience prioritizing complex backlogs involving data, analytics, and workflow enablement
  • Proven solid expertise in technical and analytics-driven product management
  • Proven ability to translate network, actuarial, and clinical concepts into scalable product capabilities
  • Proven expertise in agile product development tools and delivery models
  • Proven ability to drive adoption and measurable impact from analytics-driven products

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.


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