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Remote Fashion Computer Science Jobs in Minnesota

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

... Remote considered for exceptional candidates. As part of a software-defined hardware company, you ... This role stands on the edge of computer science/architecture and scientific applications which ...

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Architect - Remote

Eden Prairie, MN · On-site +1

$112K - $193K/yr

Bachelor's degree in Computer Science, Mathematics, an Engineering discipline, or relevant experience * 8+ years of experience in Architecture * 6+ years of experience contributing to the ...

Architect - Remote

Eden Prairie, MN · On-site +1

$112K - $193K/yr

Bachelor's degree in Computer Science, Mathematics, an Engineering discipline, or relevant experience * 8 years of experience in Architecture * 6 years of experience contributing to the architecture ...

Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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Remote Fashion Computer Science information

What is a remote fashion computer science job?

A Remote Fashion Computer Science job involves applying computer science principles and technologies to solve problems or create innovations within the fashion industry, all while working remotely. Professionals in this field might work on projects such as developing virtual fitting rooms, fashion recommendation algorithms, e-commerce platforms, or using AI to forecast trends. The remote aspect means they can perform their duties from anywhere with an internet connection, collaborating with fashion brands, retailers, or tech companies. This role requires a blend of technical programming skills and a strong understanding of fashion trends and consumer behavior.

What are the key skills and qualifications needed to thrive in a remote fashion computer science role?

To excel in a remote fashion computer science position, you need a solid background in computer science, data analysis, and an understanding of fashion industry trends, typically supported by a degree in computer science or related field. Experience with programming languages (such as Python or R), data visualization tools, and familiarity with fashion-specific software (like CLO 3D or Browzwear) are often required. Strong communication, creativity, and self-motivation are crucial soft skills for collaborating virtually and innovating within digital fashion projects. These skills ensure you can effectively bridge technology and fashion, driving innovation and efficiency in a remote work environment.

How does a remote fashion computer science professional typically collaborate with design and development teams?

Remote fashion computer science professionals often work closely with designers, product developers, and data analysts through virtual meetings and collaborative software tools. Communication is key, as you'll need to translate technical concepts into actionable insights for creative teams, often using project management platforms and shared digital workspaces. Regular check-ins and clear documentation help bridge the gap between technical and creative functions, ensuring smooth project progress even when working from different locations.

What is the difference between Remote Fashion Computer Science vs Remote Fashion Data Analysis?

AspectRemote Fashion Computer ScienceRemote Fashion Data Analysis
Required CredentialsBachelor's in Computer Science, relevant programming skillsBachelor's in Data Science, Statistics, or related field
Work EnvironmentCollaborative teams, tech-focused environmentData-driven projects, analytical setting
Industry UsageDeveloping fashion tech, software solutionsInterpreting fashion data, trend analysis
Common Search/ComparisonRemote Fashion Computer Science vs Remote Fashion Data Analysis

Remote Fashion Computer Science focuses on software development, programming, and tech solutions within the fashion industry, requiring coding skills and computer science credentials. In contrast, Remote Fashion Data Analysis emphasizes interpreting fashion data, trends, and analytics, often requiring statistical expertise. Both roles are remote, industry-specific, and involve collaboration, but they differ in core skills and daily tasks.

What cities in Minnesota are hiring for Remote Fashion Computer Science jobs?

Cities in Minnesota with the most Remote Fashion Computer Science job openings:

Infographic showing various Remote Fashion Computer Science job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 10% Part Time, 6% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution.

Sr Principal Data Scientist - Remote

Minnetonka, MN • On-site, Remote


UnitedHealth Group
Insurance Services • 10K+ employees

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th of 895 rated healthcare providers

Good employer

Recommended by students

Recommended by parents


Full-time

Retirement

Posted 5 days ago


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 highly accomplished and innovative Senior Principal Data Scientist to provide technical and analytical leadership for a strategic enterprise program focused on transforming complex business processes through advanced analytics, Artificial Intelligence (AI), and Machine Learning (ML). In this role, you will serve as a senior technical authority and strategic thought partner, applying deep expertise in data science, AI/ML, statistical modeling, experimentation, and decision science to solve high-impact enterprise challenges. Operating in ambiguity, you will frame complex and undefined problems, define new analytical approaches, and translate complex data into actionable insights and scalable AI-driven solutions that generate measurable business value. You will also shape the organization's advanced analytics and AI capabilities by establishing analytical standards, advancing innovative methodologies (including Generative AI, Large Language Models, and agentic capabilities), and mentoring data science talent across the enterprise.
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:
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI, collaborating across research, engineering, and product teams to translate cutting-edge AI advancements into scalable, reusable enterprise capabilities
  • Serve as a senior technical leader and subject matter expert for enterprise data science, advanced analytics, AI, and machine learning initiatives across multidisciplinary teams
  • Lead analytical strategy for highly complex enterprise challenges, analyzing large-scale datasets to uncover hidden patterns, emerging trends, anomalies, and previously unexploited business opportunities
  • Develop predictive, prescriptive, causal, optimization, and decision intelligence solutions, applying advanced statistical methods, machine learning, Generative AI, and agentic AI capabilities
  • Frame ambiguous business challenges into testable hypotheses, lead rigorous experimentation and model validation, and deliver executive-level recommendations that influence strategic decision-making
  • Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle
  • Use enterprise-approved AI tools to streamline workflows, automate tasks, evaluate emerging trends, and drive continuous improvement
  • Establish best practices for model development, explainability, monitoring, reproducibility, and responsible AI while mentoring data science talent across the organization

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 degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Operations Research, or another quantitative discipline, or equivalent experience (e.g., 4+ additional years of quantitative analysis experience in lieu of degree)
  • 10+ years of progressive experience in Data Science, Advanced Analytics, Machine Learning, AI, Operations Research, or related quantitative disciplines leading complex analytical initiatives
  • 5+ years of experience with Python, R, SQL, or comparable programming languages for statistical modeling and data manipulation
  • 5+ years of experience working with machine learning frameworks and ecosystems (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost)
  • 3+ years of experience framing ambiguous business challenges, conducting hypothesis testing, experimental design, causal inference, and model validation on large-scale datasets
  • 3+ years of experience providing technical leadership, mentoring data scientists, and establishing modeling standards
  • 3+ years of experience translating technical analytics into executive-level narratives to influence business and investment decisions

Preferred Qualifications:
  • Master's degree or PhD in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Operations Research, or related quantitative discipline
  • Advanced expertise applying Generative AI, Large Language Models (LLMs), Agentic AI, NLP, or emerging AI technologies to enterprise business problems
  • Experience architecting and operationalizing AI-enabled decision intelligence solutions, recommendation systems, anomaly detection, or forecasting systems at scale
  • Experience with cloud-based analytics and AI platforms (e.g., AWS, Azure, GCP) and modern enterprise data ecosystems
  • Experience establishing model governance, explainability, monitoring, and lifecycle management (MLOps) in complex or highly regulated enterprise environments
  • Demonstrated track record of developing reusable analytical platforms, frameworks, accelerators, or intellectual property across enterprise functions

*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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