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Remote Data Scientist Deep Learning Jobs in Minnesota

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Senior Data Scientist

Richfield, MN · On-site +1

You'll dive deep into experimental design, predictive modeling, and Bayesian statistics-while also ... Candidates outside these metro areas may qualify for remote work. The recruiter or hiring manager ...

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What are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Deep Learning, and why are they important?

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do Remote Data Scientists specializing in Deep Learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

What are remote data scientists specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.
What are popular job titles related to Remote Data Scientist Deep Learning jobs in Minnesota? For Remote Data Scientist Deep Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Deep Learning jobs in Minnesota look for? The top searched job categories for Remote Data Scientist Deep Learning jobs in Minnesota are:
Remote Data Scientist Deep Learning jobs near you
Principal Data Scientist - Remote

Principal Data Scientist - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

Full-time

Retirement

Posted 5 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

187th of 872 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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