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Remote Science Jobs in Mounds View, MN (NOW HIRING)

UnitedHealth Group

Data Scientist - Remote

Minnetonka, MN · On-site +1

$112K - $193K/yr

The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases * Contribute to experimentation with novel ML and Generative AI ...

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Remote Science information

See Mounds View, MN salary details

$26K

$51.3K

$83.8K

How much do remote science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote science in Mounds View, MN is $51,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,800.00 and $55,100.00 per year, depending on experience, location, and employer.

What are common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What remote science jobs are there?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and environmental consultants. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, with many roles offering flexible schedules and the use of collaboration tools like video conferencing and cloud-based data sharing.

What is the difference between Remote Science vs Remote Data Analyst?

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What is remote science?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

What skills and qualifications are needed to thrive as a remote science professional?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.
What cities near Mounds View, MN are hiring for Remote Science jobs? Cities near Mounds View, MN with the most Remote Science job openings:
Remote Science jobs near you
Infographic showing various Remote Science job openings in Mounds View, MN as of August 2026, with employment types broken down into 3% Internship, 77% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $51,313 per year, or $24.7 per hour.

Data Scientist - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

$112K - $193K/yr

Full-time

Retirement

Re-posted 19 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th 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.
This role is a senior, hands-on AI/ML engineering position focused on building, enhancing, and integrating Machine Learning and Generative AI solutions within Databricks.
Working in office if based in MSP or DC
Primary Responsibilities:
  • Designing and implementing ML models
  • Creating custom embeddings
  • Building RAG pipelines
  • Implementing vector databases
  • Developing agentic workflows with LangChain
  • Integrating AI into enterprise applications for Claims Payment Integrity (PI)
  • The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases
  • Contribute to experimentation with novel ML and Generative AI architectures
  • Create and maintain embedding models (domain-specific embeddings, document/text embeddings)
  • Support Retrieval-Augmented Generation (RAG) solutions, including semantic search, vector databases, and LLM integration
  • Help design and implement AI-powered enterprise applications
  • Analyze large datasets to identify trends, patterns, and actionable insights
  • Partner with AI/ML Engineers and Leads to enhance existing models and improve model accuracy and performance
  • Optimize AI pipelines for scalability, performance, reliability, and cost efficiency
  • Integrate AI/ML solutions into enterprise systems by partnering closely with data engineering, product, and platform teams
  • Collaborate effectively with cross-functional teams and stakeholders, communicating complex technical concepts clearly
  • Contribute to skill development for engineers and interns in AI/LLM techniques
  • Comply with company policies, procedures, and directives

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:
  • Bachelor's/Master's in CS, Engineering, Mathematics/Statistics, or related
  • 5+ years of experience as a Data Scientist
  • 5+ years of relevant experience, including strong ML end to end model development (data prep → feature creation → training → evaluation)
  • 5+ years of experience with Python, Scala, SQL
  • 3+ years of Databricks, Spark
  • 2+ years of experience with LLM & GenAI Skills:
    • Creating custom embedding models
    • Building RAG pipelines
    • Vector DBs & semantic search
    • Using LangChain for agentic workflows (tools, agents, memory)
    • Experience with OpenAI/Azure OpenAI APIs
    • Experience with Azure cloud for compute, security, and resource management
    • CI/CD familiarity using Git, GitHub Actions/Jenkins, Terraform
    • Excellent communication and partnership skills
  • Experience with Actuarial, Risk and Forecasting Models

Preferred Qualifications:
  • Experience with healthcare claims data
  • Experience with Azure, Databricks, Snowflake, LLMs and/or similar tools
  • Demonstrated problem-solving, and analytical thinking skills
  • Demonstrated organizational skills with ability to be flexible and work with ambiguity

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 to $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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