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Data Science Jobs in Rice, MN (NOW HIRING)

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Data Science information

See Rice, MN salary details

$37.1K

$121.4K

$194.4K

How much do data science jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data science in Rice, MN is $121,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What cities near Rice, MN are hiring for Data Science jobs? Cities near Rice, MN with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Rice, MN as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $121,408 per year, or $58.4 per hour.
AI Systems Architect Azure AI Foundry, Fabric, Copilot & Multi-Agent Systems (Digital Workforce)

AI Systems Architect Azure AI Foundry, Fabric, Copilot & Multi-Agent Systems (Digital Workforce)

KORE1 Technologies

Saint Cloud, MN • On-site, Remote

Full-time

Posted 19 days ago

Job description

Location: This is a fully remote position; however, candidates must reside in one of our approved hiring states: DE, FL, IA, IL, IN, KY, MD, MI, MN, MO, ME, NE, ND, NJ, PA, RI, SD, TX, or WI. Central time zone is preferred. 

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for an AI Systems Architect - Azure AI Foundry, Fabric, Copilot & Multi-Agent Systems (Digital Workforce)

We're building AI-powered Digital Employees-intelligent systems that automate work, interact across business platforms, orchestrate workflows, and become part of the modern workforce.

We're looking for an experienced AI Systems Architect to help design and build the platform foundations that make this possible.

This role sits at the intersection of AI architecture, software engineering, platform design, and emerging technology strategy. You'll work directly with modern AI ecosystems including Azure AI Foundry, Microsoft Fabric, Azure OpenAI, multi-agent systems, APIs, orchestration technologies, and enterprise integration platforms to create scalable AI solutions that solve meaningful business challenges.

This is a role for someone who enjoys building systems-not simply configuring products.

What You'll Build
You'll architect and deliver:
  • AI-powered Digital Employees and intelligent workflow systems
  • Enterprise AI platforms leveraging large language models and agent-based architectures
  • Multi-agent systems capable of coordinating business processes and workflows
  • AI pipelines powered by Azure AI Foundry, Microsoft Fabric, and Azure AI services
  • Deep system-to-system integrations across SaaS, cloud, data, and business platforms
  • Secure APIs and communication layers enabling AI interoperability
  • Retrieval, orchestration, and context-sharing frameworks
  • Scalable AI products and managed service offerings
  • Foundational architecture enabling our AI Digital Workforce ecosystem

What You'll Do
  • Architect intelligent systems and AI platforms
    • Design end-to-end AI architectures across cloud, hybrid, and enterprise environments
    • Build proof-of-concepts and production-ready AI solutions leveraging generative AI ecosystems
    • Define reusable architecture patterns, standards, and technical frameworks
    • Create scalable designs for AI agents, orchestration workflows, retrieval systems, and enterprise integrations
    • Balance innovation, scalability, supportability, and operational excellence
    • Evaluate emerging technologies and rapidly determine practical business applications
  • Lead AI platform and integration strategy
    • Design interfaces between AI systems and enterprise applications using APIs, service architectures, and event-driven systems
    • Architect modern system-to-system integrations across Microsoft, SaaS, cloud, and line-of-business platforms
    • Establish standards for AI interoperability and orchestration
    • Develop patterns for context sharing, workflow coordination, and AI communication
    • Help define our approach to emerging standards including Model Context Protocol (MCP), agent interoperability, and modern AI communication frameworks
    • Develop scalable architectural approaches for AI-to-system connectivity
  • Help shape the future of AI Digital Employees
    • Lead development of AI and Digital Employee offerings from concept through market launch
    • Collaborate closely with engineering, innovation, security, sales, and operations teams
    • Participate directly in customer workshops, pilots, and technical strategy discussions
    • Translate highly technical concepts into practical business outcomes
    • Mentor internal teams on AI architecture and emerging technologies
    • Influence long-term AI strategy and technical direction

What We're Looking For
  • Bachelor's degree in Computer Science, Information Technology, Data Science, Software Engineering, or a related technical discipline.
  • 8+ years of experience in architecture, software engineering, platform engineering, systems engineering, or advanced technical leadership roles.
  • Proven experience designing and delivering enterprise-grade technology solutions from concept through production deployment.
  • Demonstrated hands-on experience building, deploying, and supporting AI, Generative AI, LLM, intelligent automation, agent-based, or machine learning solutions in production environments.
  • Deep hands-on experience with Azure AI Foundry, Microsoft Fabric, Azure OpenAI, Azure AI Services, Copilot Studio, and Azure-native AI architecture patterns.
  • Experience designing and implementing multi-agent systems, agent orchestration frameworks, Retrieval Augmented Generation (RAG), context engineering, agent memory, and intelligent workflow architectures.
  • Strong experience building AI pipelines, workflows, and enterprise AI solutions leveraging modern AI platforms and services.
  • Deep expertise with REST APIs, enterprise integrations, event-driven architectures, distributed systems, microservices, OAuth, SAML, and modern identity platforms.
  • Strong software engineering background with hands-on Python development experience and modern application architecture practices.
  • Experience integrating AI solutions across cloud platforms, SaaS applications, enterprise systems, and data environments.
  • Strong understanding of data architecture, data grounding, retrieval strategies, and enterprise AI data patterns.
  • Demonstrated ability to personally architect, prototype, build, and deploy AI solutions; this is a hands-on builder role, not a pure strategy or governance position.
  • Strong communication skills with the ability to translate complex technical concepts into practical business outcomes.

Preferred Qualifications
  • Experience building and deploying local or self-hosted LLMs.
  • Experience with voice agents, conversational AI, digital employees, avatar-based AI solutions, or intelligent automation platforms.
  • Experience with Model Context Protocol (MCP), agent interoperability standards, and AI communication frameworks.
  • Experience developing SDKs, connectors, middleware solutions, or reusable integration frameworks.
  • Experience building AI solutions outside the Microsoft ecosystem.
  • Experience supporting managed AI services, commercial AI products, or AI platform offerings.
  • Experience participating in customer workshops, pilots, solution demonstrations, or technical strategy discussions.
  • Experience mentoring engineers and establishing architecture standards, best practices, and reusable technical frameworks.
  • Experience with AI governance, observability, monitoring, and operational best practices.
  • Azure, Microsoft AI, Microsoft Fabric, Azure OpenAI, or related cloud certifications.
Compensation depends on experience but is typically $151K - $250K + 10% bonus incentive opportunity

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.
Education:Employment Type: FULL_TIME

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