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Remote Data Scientist Jobs in Rochester, MN (NOW HIRING)

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Remote Data Scientist information

See Rochester, MN salary details

$38.1K

$124.8K

$199.7K

How much do remote data scientist jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote data scientist in Rochester, MN is $124,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $138,200.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficient analysis.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists are increasingly required to work alongside AI tools, leveraging skills in programming, statistics, and domain knowledge to develop and refine AI systems. The demand for data scientists remains strong as organizations seek to extract insights and create value from complex data sets.

Can I get a remote job as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, statistical analysis, and tools like Python or R, along with good communication abilities. Job seekers should review specific job descriptions to confirm remote work options and requirements.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Rochester, MN? The most popular types of Data Scientist jobs in Rochester, MN are:
What are popular job titles related to Remote Data Scientist jobs in Rochester, MN? For Remote Data Scientist jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in Rochester, MN look for? The top searched job categories for Remote Data Scientist jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Remote Data Scientist jobs? Cities near Rochester, MN with the most Remote Data Scientist job openings:
Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Rochester, MN as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $124,763 per year, or $60 per hour.
Senior Software Engineer - AI Platform Engineering

Senior Software Engineer - AI Platform Engineering

Expleo

Rochester, MN • On-site, Remote

$75 - $85/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Overview

Location: Remote (U.S.-Based)

Employment Type: Contract

Are you ready to shape the future of AI infrastructure? Trissential is partnering with an innovative client to find a Senior Software Engineer who thrives at the intersection of large-scale distributed systems and cutting-edge AI. This is your opportunity to build the backbone of next-generation AI platforms-where models, agents, and real-time intelligence come together at scale.

What's in It for You?

  • High-Impact Work - Build the core runtimes powering AI models and autonomous agents across hybrid cloud environments
  • Cutting-Edge Tech Stack - Work with Kubernetes, LLMs, RAG architectures, and modern AI/ML pipelines
  • Platform Ownership - Design and influence scalable infrastructure and runtime architecture
  • Collaboration Culture - Partner with product, architecture, and data teams to accelerate AI innovation
  • Growth Opportunity - Mentor engineers and lead initiatives that shape future platform capabilities

Your Role & Responsibilities

  • Design and build scalable back-end services supporting AI-driven, data-centric applications
  • Architect high-performance runtimes for machine learning models and autonomous agents
  • Develop and manage hybrid-cloud infrastructure (AWS, Azure, GCP) with a multi-tenant design approach
  • Implement observability frameworks (logging, metrics, tracing) to ensure system reliability and performance
  • Lead and participate in DevOps, CI/CD, and Agile development processes
  • Collaborate with product managers, architects, and engineers to translate complex requirements into robust solutions
  • Conduct root cause analysis and troubleshoot complex distributed systems
  • Mentor junior engineers and contribute to cross-functional engineering excellence initiatives
  • Optimize inference workloads and implement scalable architectures such as RAG pipelines
  • Ensure adherence to coding standards, documentation, and best practices across the SDLC

 

Skills & Experience You Should Possess

  • 5+ years of software engineering experience building scalable back-end systems
  • Strong programming experience in Python, Go, Java, or similar high-level languages
  • Hands-on expertise with Kubernetes (4+ years preferred) and container orchestration
  • Experience developing cloud-native applications in hybrid environments (AWS, Azure, GCP)
  • Solid understanding of AI/ML lifecycle, including LLM operations and inference optimization
  • Proven experience with distributed systems, scalability, and high-availability architectures
  • Strong knowledge of DevOps practices, CI/CD pipelines, and Agile methodologies
  • Experience implementing observability solutions (logs, metrics, tracing)
  • Excellent problem-solving, communication, and time management skills

Bonus Points If You Have:

  • Experience with RAG architectures and agent-based AI systems
  • Background in healthcare or regulated industry software development
  • Familiarity with data warehousing, big data systems, and analytics platforms
  • Knowledge of business intelligence tools and modern data ecosystems
  • Experience working with open-source technologies in large-scale environments

Education & Certifications You Need:

  • Bachelor's Degree in Computer Science, Engineering, or related field (required)
  • Master's Degree in a related field (preferred) Certifications in cloud platforms (AWS, Azure, GCP) are a plus

What We Offer

At Trissential, we prioritize innovation, growth, and collaboration. By joining our client's team, you'll work on transformative AI initiatives while being supported by a forward-thinking environment.

  • Competitive Compensation - $75-$85 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
  • Comprehensive Benefits for you and your dependents - Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
  • Paid Time Off - Offers paid time away from work
  • Remote Flexibility - Work from anywhere within the U.S
  • Career Development - Access to training, certifications, and leadership opportunities
  • Innovative Work Environment - Build cutting-edge AI solutions alongside industry experts

Please Note: This role is only open to candidates authorized to work in the United States

Ready to be part of something exciting?

If you're passionate about building scalable AI platforms and want to work on transformative technology that impacts real-world outcomes, this is your opportunity. Apply today and help drive the future of AI with Trissential!

Employment Type: OTHER

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