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Remote Building Science Jobs in Minnesota (NOW HIRING)

Contribute to building and enhancing data pipelines, reporting frameworks, and analytical standards ... Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ...

They're building social features using LLMs and Machine Learning to add to user experience. We're ... A scientific artist and artistic scientist who can navigate complexity and bring clarity to ...

Senior Data Engineer

Rochester, MN · On-site +1

$103K - $140K/yr

Demonstrated experience in designing, building, and installing data systems and how they are ... This is a full time remote position within the United States. Mayo Clinic will not sponsor or ...

$139K - $168K/yr

... building performant and reliable LLM applications and collaborating with our product team to ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

$139K - $168K/yr

... building performant and reliable LLM applications and collaborating with our product team to ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

Java Backend Architect

Minneapolis, MN · On-site +1

$65.75 - $88.75/hr

REMOTE Duration : 12 month plus Mandatory Skills : Java, back end SpringBoot, Kafka, RabbitMQ, and ... We are seeking skilled and experienced Senior Engineers to join our team responsible for building ...

Waters is a global leader in life sciences, dedicated to accelerating the benefits of pioneering ... USA remote Key Job Responsibilities: * Responsible for managing, prospecting, and building ...

Air Modeler

Duluth, MN · Remote

$80K - $119K/yr

Building strong client relationships and contributing to business growth through technical ... Science, Atmospheric Sciences/Meteorology, or related field (Master's preferred). Experience ...

Air Modeler

Bloomington, MN · Remote

$80K - $119K/yr

Building strong client relationships and contributing to business growth through technical ... Science, Atmospheric Sciences/Meteorology, or related field (Master's preferred). Experience ...

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Remote Building Science information

What is a Remote Building Science professional?

A Remote Building Science professional is an expert who analyzes and improves building performance, energy efficiency, and occupant comfort—often using digital tools and remote technologies. They may conduct virtual assessments, review building plans, model energy use, and recommend improvements, all without being physically present at the project site. Their work helps ensure buildings are safe, healthy, and environmentally sustainable, using a mix of engineering, architecture, and environmental science principles. This role is particularly important for organizations seeking to optimize buildings across multiple locations or during times when in-person site visits are challenging.

How does a Remote Building Science professional typically collaborate with on-site teams during a project?

Remote Building Science professionals often work closely with on-site teams by leveraging digital tools such as video conferencing, BIM software, and cloud-based documentation. They are responsible for analyzing building performance data, providing recommendations, and ensuring that sustainability and energy efficiency goals are met. Effective communication and regular virtual meetings are key to maintaining alignment between remote experts and field personnel. Establishing clear protocols for data sharing and feedback helps ensure smooth collaboration throughout the project lifecycle.

What is the difference between Remote Building Science vs Remote Building Envelope Specialist?

AspectRemote Building ScienceRemote Building Envelope Specialist
CredentialsBuilding science certifications, LEED, HVAC knowledgeBuilding science background, certifications in envelope systems
Work EnvironmentConsulting, research, project analysis remotely or on-siteDesign, assessment, and troubleshooting building envelopes remotely or on-site
Industry UsageBuilding consulting firms, energy efficiency projectsArchitectural firms, construction, retrofit projects
Search & ComparisonOften compared for building performance rolesCompared for envelope design and repair roles

Remote Building Science and Remote Building Envelope Specialist roles share overlapping skills in building performance and certifications. However, Building Science focuses broadly on overall building systems and energy efficiency, while Building Envelope Specialists concentrate specifically on the building's exterior and envelope systems. Both roles are vital in construction and retrofit projects, often working together to improve building performance remotely.

What are the key skills and qualifications needed to thrive as a Remote Building Science Specialist, and why are they important?

A strong foundation in building physics, energy modeling, and construction principles, often supported by a degree in engineering, architecture, or a related field, is essential for a Remote Building Science Specialist. Familiarity with technical tools such as energy simulation software (e.g., EnergyPlus, WUFI), CAD programs, and certifications like LEED or BPI is typically required. Outstanding analytical thinking, communication, and self-motivation are crucial soft skills, especially when collaborating remotely with multidisciplinary teams. These skills ensure accurate assessments, effective solutions, and successful project outcomes in the evolving field of sustainable building design and performance.
What cities in Minnesota are hiring for Remote Building Science jobs? Cities in Minnesota with the most Remote Building Science job openings:
Director Data Science - Remote or Hybrid in MN or DC

Director Data Science - Remote or Hybrid in MN or DC

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

Full-time

Retirement

Posted 11 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 888 rated healthcare providers


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
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:
  • Define enterprise data science strategy: Own and drive the technical strategy for applied machine learning, Generative AI, Agentic AI, and advanced analytics across multiple domains and healthcare use cases
  • Lead development of advanced ML, GenAI, and agentic solutions: Provide hands-on technical direction for the design, development, and deployment of machine learning, deep learning, time-series, survival analysis, large language model (LLM), and agent-based AI systems in production environments
  • Establish modeling standards and best practices: Define and standardize modeling frameworks, feature engineering approaches, prompt and context engineering practices, evaluation methodologies, and validation standards across data science teams
  • Architect scalable ML and GenAI systems: Guide the design of production-grade ML and LLM systems including data pipelines, feature stores, retrieval-augmented generation (RAG), model serving infrastructure, agent orchestration frameworks, monitoring, and retraining workflows
  • Ensure responsible and reliable AI deployment: Implement consistent practices for model interpretability, explainability, bias assessment, fairness evaluation, guardrails, human oversight, and lifecycle management across deployed predictive, generative, and agentic AI systems
  • Oversee experimentation and performance monitoring: Define experimentation, benchmarking, and monitoring strategies including drift detection, recalibration, LLM evaluation, hallucination and safety checks, tool-use reliability, and performance management
  • Provide technical leadership and mentorship: Mentor principal and senior data scientists, review technical designs and modeling decisions, and provide guidance for complex analytical, GenAI, and agentic AI challenges
  • Influence cross-functional AI delivery: Partner with engineering, data, security, product, and platform teams to align data science solutions with enterprise platforms, infrastructure, reliability requirements, AI governance expectations, and executive priorities
  • Partner with payment integrity, clinical, claims, compliance, legal, product, and operations stakeholders to translate business problems such as overpayment detection, coding validation, policy adherence, aberrant billing patterns, and prepay/postpay review into scalable AI and analytics solutions

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:
  • 12+ years of experience in data science, machine learning, or advanced analytics with 8+ years developing and deploying production ML models
  • 8+ years of experience using Python-based data science ecosystems (for example Pandas, NumPy, scikit-learn, PyTorch, or equivalent) and advanced SQL for large-scale analytics, experimentation, and data transformation
  • 7+ years of experience in senior data science or technical leadership roles influencing modeling approaches, reviewing analytical work across teams, setting standards for model development and validation, and translating complex technical tradeoffs for senior stakeholders
  • 6+ years of experience designing, deploying, or supporting production ML systems, including model serving, monitoring, retraining workflows, experimentation frameworks, ML lifecycle management, and evaluation of LLM or GenAI applications
  • 6+ years of experience working with healthcare data such as claims, EHR, pharmacy, or laboratory datasets, including familiarity with healthcare coding systems such as ICD, CPT, NDC, SNOMED, and LOINC, as well as data interoperability standards including FHIR or HL7
  • 3+ years of experience designing, building, or operationalizing Generative AI or LLM-based systems
  • 3+ years of experience applying data science, machine learning, advanced analytics, or AI techniques to healthcare program integrity, payment integrity, fraud, waste, and abuse, claims payment accuracy, improper payment reduction, coding validation, provider behavior analytics, or related healthcare financial integrity use cases
  • 1+ years of experience with Agentic AI concepts and implementations such as AI agents, agentic skills, model context protocols (MCPs), agent-to-agent (A2A) patterns, tool use, orchestration frameworks, or autonomous workflow execution
    *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 $134,600 - $230,800 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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