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Remote Data Science Physics Jobs in Minnesota (NOW HIRING)

Varsity Tutors

High School Science Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Deep knowledge of biology, chemistry, physics, and earth science concepts covered at the high ... Ability to explain scientific principles, laboratory techniques, and data analysis methods while ...

Varsity Tutors

High School Science Tutor

Edina, MN · Remote

$18 - $40/hr

Deep knowledge of biology, chemistry, physics, and earth science concepts covered at the high ... Ability to explain scientific principles, laboratory techniques, and data analysis methods while ...

Varsity Tutors

High School Science Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Deep knowledge of biology, chemistry, physics, and earth science concepts covered at the high ... Ability to explain scientific principles, laboratory techniques, and data analysis methods while ...

ZEISS

Applications Engineer II

Minneapolis, MN · On-site +1

... data. * Implementing quoted application solutions through remote, classroom, or on-site delivery. Do you qualify? * Bachelor's degree in Mechanical Engineering, Computer Science, Physics, or a ...

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 ...

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Remote Data Science Physics information

What is the difference between Remote Data Science Physics vs Remote Data Science Engineering?

AspectRemote Data Science PhysicsRemote Data Science Engineering
Required CredentialsPhysics degree, data science certificationsEngineering degree, data science certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, manufacturing, software companies
Industry UsageScientific research, academia, tech innovationProduct development, systems engineering, software solutions

Remote Data Science Physics focuses on applying physics principles to data analysis and modeling, often in research or scientific contexts. Remote Data Science Engineering emphasizes developing data-driven products and systems within engineering and technology sectors. While both roles require data science skills, their industry applications and focus areas differ significantly.

What are the key skills and qualifications needed to thrive as a remote data science physicist?

To thrive as a Remote Data Science Physicist, you need a strong background in physics, statistics, and mathematics, typically supported by a relevant degree (such as Physics or Data Science) and experience with data analysis. Proficiency with programming languages like Python or R, machine learning frameworks, and data visualization tools is essential, along with familiarity with cloud-based collaboration platforms. Excellent problem-solving skills, communication, and self-motivation are crucial soft skills for remote work and interdisciplinary collaboration. These skills ensure accurate data-driven insights, effective teamwork, and successful project delivery in a remote environment.

How do remote data science physicists typically collaborate with multidisciplinary teams despite working offsite?

Remote data science physicists often work closely with software engineers, domain scientists, and project managers through virtual collaboration tools such as Slack, Zoom, and cloud-based platforms for data sharing and analysis. Regular online meetings, shared documentation, and version-controlled repositories (like GitHub) are essential for maintaining clear communication and workflow alignment. While remote work offers flexibility, it requires proactive communication and strong organizational skills to ensure seamless integration with the broader research or product development team.

What is a remote data science physicist?

A Remote Data Science Physics job involves using data science tools, such as statistical analysis, machine learning, and programming, to solve problems or analyze data related to physics, all while working from a remote location. Professionals in this field may work on projects like simulations, data modeling, or research for academic or industry settings. They apply their understanding of physics concepts alongside data science skills to extract meaningful insights from large and complex datasets. This role often requires proficiency in programming languages like Python or R, knowledge of data analysis techniques, and a strong foundation in physics.
What are the most commonly searched types of Data Science Physics jobs in Minnesota? The most popular types of Data Science Physics jobs in Minnesota are:
What are popular job titles related to Remote Data Science Physics jobs in Minnesota? For Remote Data Science Physics jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Physics jobs in Minnesota look for? The top searched job categories for Remote Data Science Physics jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Science Physics jobs? Cities in Minnesota with the most Remote Data Science Physics job openings:
Remote Data Science Physics jobs near you
Infographic showing various Remote Data Science Physics job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Principal Data Scientist - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

Full-time

Retirement

Re-posted 27 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 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.
We are seeking a seasoned Principal Data Scientist to lead design, development and deployment of advanced machine-learning solutions. In this role you will define end-to-end ML architecture, select appropriate tools and frameworks, drive POCs and guide engineering teams in productionizing scalable AI services. A solid foundation in statistics, deep learning and generative AI, hands-on cloud expertise, and exceptional communication skills are essential. The Principal Data Scientist designs and builds production grade ML and GenAI solutions, while providing technical guidance and mentorship to junior engineers without formal people management responsibilities.
You'll enjoy the flexibility to work remotely* from anywhere within the U.S., preferably in Minnesota, 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:
  • Lead solution architecture and hands on development of machine learning and generative AI applications
  • Design, build, and deploy scalable, production grade AI solutions using traditional ML, deep learning, and modern LLM based approaches
  • Balance architectural leadership with hands on execution across complex AI/ML initiatives
  • Provide technical guidance and mentorship to junior engineers through collaboration and code/design reviews (no people management)
  • Partner closely with engineering, product, and cross functional teams to deliver high impact AI solutions aligned with enterprise standards
  • Design, develop, and deploy AI-powered solutions to address complex business challenges
  • Lead proof-of-concept experiments in generative AI (transformers, GANs, diffusion models) to solve business problems
  • Establish best practices for model governance, versioning, reproducibility and security
  • Collaborate with data engineers, data scientists, software engineers and product managers to translate business requirements into technical solutions
  • Evaluate emerging tools, libraries and research to drive innovation and maintain competitive edge
  • Document architecture designs, conduct design reviews and present technical proposals to stakeholders

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 of experience designing, building, and deploying production machine learning solutions
  • Deep expertise in either NLP or Computer Vision, with multiple years of hands on solution ownership in that domain
  • Deep expertise in core ML and statistical methods: supervised/unsupervised learning, regression, classification, clustering, time series, Bayesian modeling
  • Proven solid foundation in traditional ML and deep learning, demonstrated through substantive work prior to or alongside recent GenAI efforts (GenAI only backgrounds without prior ML depth are not sufficient)
  • Demonstrated experience with cloud ML services and infrastructure design on at least one major cloud platform (AWS, Azure or GCP)
  • Recent experience (approximately last three years) building GenAI applications using LLMs and frameworks such as LangChain and/or LangGraph
  • Hands on programming experience in Python and ML frameworks (e.g., PyTorch, TensorFlow)
  • Demonstrated familiarity with big data technologies: Apache Spark, Hadoop, Dask
  • Ability to define cloud-native ML infrastructure on Azure, AWS or GCP: containerization (Docker/Kubernetes), ML pipelines (SageMaker, Vertex AI, Azure ML), MLOps (CI/CD, model registry, monitoring)
  • Proficiency in deep learning frameworks: TensorFlow, Keras, PyTorch
  • Practical experience building or fine-tuning generative models (e.g., GPT, BERT, Stable Diffusion, custom architectures)
  • Proven solid background in probability, linear algebra and statistical inference
  • Demonstrated track record of moving models from research/POC into production at scale
  • Proven excellent problem-solving ability and solid verbal/written communication skills

Preferred Qualifications:
  • Experience working with healthcare data, systems, or use cases
  • Experience with MLOps tools: MLflow, Kubeflow, TFX, Airflow or equivalent
  • Proven knowledge of data visualization tools (Tableau, Power BI) and dashboarding
  • Work supporting U.S. based healthcare or enterprise environments
  • Reside in Minnesota

*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 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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