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Data Science Jobs in Virginia, MN (NOW HIRING)

Med Lab Scien/Med Technologist

Hibbing, MN · On-site

$34.18 - $47.59/hr

The MLS/MT correlates data based on clinical knowledge, technical expertise, and other conditions ... Medical Lab Scientist through ASCP within 1 Year or * Medical Technologist through ASCP prior to ...

Med Lab Scien/Med Technologist

Hibbing, MN · On-site

$34.18 - $47.59/hr

The MLS/MT correlates data based on clinical knowledge, technical expertise, and other conditions ... Medical Lab Scientist through ASCP within 1 Year or * Medical Technologist through ASCP prior to ...

Interpret data and provide recommendations to improve energy efficiency, recycling, waste disposal ... Minimum Qualifications * BS degree in Chemical, Civil, Environmental Engineering or related science ...

Be Seen First

Bachelor's degree in Environmental Science, Geology, Engineering, Natural Resources, Environmental ... Knowledge of GIS, environmental data systems, or technical modeling tools * Supervisory experience ...

Geologist

Eveleth, MN · On-site

$80K - $100K/yr

Input data into GIS and make maps and then input data into WENCO Monitor deviations and report ... S. in geology, metallurgy, earth sciences, or equivalent. * 3-5 years' supervisory experience at ...

Problem solving: evaluate complex geochemical systems, data sets, and regulatory frameworks to develop practical, science-based solutions. Integrate modeling results, field data, and uncertainty ...

Neuro Psychologist

Tower, MN · On-site

$57.33 - $88.47/hr

The neuropsychologist is trained in the science of brain-behavior relationships and specializes in ... We protect your privacy and follow strict data protection rules. Your information is safe and used ...

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Data Science information

See Virginia, MN salary details

$36.1K

$118.1K

$189K

How much do data science jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data science in Virginia, MN is $118,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 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.
What are popular job titles related to Data Science jobs in Virginia, MN? For Data Science jobs in Virginia, MN, the most frequently searched job titles are:
What cities near Virginia, MN are hiring for Data Science jobs? Cities near Virginia, MN with the most Data Science job openings:
Infographic showing various Data Science job openings in Virginia, MN as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,060 per year, or $56.8 per hour.
Principal AI Data Scientist

Principal AI Data Scientist

HP Development Company, L.P.

Virginia, MN • On-site

$147K - $230K/yr

Other

Medical, Dental, Vision, Life, PTO

Posted 5 days ago


Job description

Principal AI Data Scientist

About the Position The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based tools and digital products that enable increased productivity for 50,000+ employees and improve the effectiveness of hundreds of critical business processes. We collaborate closely with business stakeholders across HP to scope, prototype, and develop models and products in the cloud and on the edge. We also serve as HP's AI Center of Excellence, providing consulting assistance, reusable components and frameworks, and training to other teams across the company.

As a Principal Data Scientist focused on Generative AI, you will lead multiple HP projects involving large language and multi-model models and other cutting-edge Generative AI capabilities for deployment on the cloud or edge. In addition to working with our core technical team, you'll collaborate with business stakeholders and across various units to develop and deploy solutions at scale. Your primary focus and mindset will be on delivering real business value to our internal customers. Please note, this is not a research role.

Responsibilities

  • Leads organization-wide team or teams of other data science professionals in complex projects to create GenAI-based models and digital products.
  • Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
  • Manages relationships with senior business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
  • Ties insights into effective visualizations communicating business value and innovation potential.
  • Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
  • Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
  • Represents the data science team for all phases of larger and more-complex development projects.
  • Provides guidance, training and mentoring to less experienced staff members.

Education & Experience Recommended

  • PhD related to AI and 5+ years of experience or Master's degree related to AI and 10+ years of experience.
  • Relevant experience must involve Generative AI and related technologies including machine learning, data analytics, and statistical modeling.

Preferred Certifications

  • Programming Language/s Certification (SQL, Python, or similar)

Knowledge & Skills

  • Strong foundation in data science and core machine learning concepts.
  • Experience with large language models, multi-modal modals, prompt engineering, vector databases, Retrieval-Augmented Generation (RAG), and search engines.
  • Solid technical background. Experience working on software development teams, especially in cloud-based business applications, is a strong plus.
  • Familiarity with tools such as Azure Machine Learning, Azure Prompt Flow, Python, LangChain, Streamlit, and Docker.
  • Experience working in distributed, diverse teams, with bonus points for time spent in small fast-paced start-ups.
  • Comfortable representing the team in meetings with multiple stakeholders and driving discussions clearly and respectfully. Mastery of English is required.
  • Able to explain technical concepts (e.g., LLMs) to non-technical audiences.
  • You suggest pragmatic solutions that are as simple as possible—even if that means no AI is required.

Cross-Org Skills

  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity

The base pay range for this role is $147,050 to $230,850 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
    • 4-12 weeks fully paid parental leave based on tenure
    • 11 paid holidays
    • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job

Data & Information Technology

Schedule

Full time

Shift

No shift premium (United States of America)

Travel

Relocation

Equal Opportunity Employer (EEO)

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"