ZipRecruiter

Log In

2

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

next page

Showing results 1-20

All JobsRemote Data Science JobsRemote Data Science Jobs in Rochester, MN

Remote Data Science information

See Rochester, MN salary details

$23.4K

$104.2K

$198.8K

How much do remote data science jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote data science in Rochester, MN is $104,161.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,804.00 and $144,475.00 per year, depending on experience, location, and employer.

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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or 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.

Will AI replace 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 eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

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 efficiency.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Rochester, MN? The most popular types of Data Science jobs in Rochester, MN are:
What are popular job titles related to Remote Data Science jobs in Rochester, MN? For Remote Data Science jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Rochester, MN look for? The top searched job categories for Remote Data Science jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Remote Data Science jobs? Cities near Rochester, MN with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Rochester, MN as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $104,161 per year, or $50.1 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

Apply