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Data Science Jobs in Virginia, MN (NOW HIRING)

Jobtailor

Data Scientist

Virginia, MN · On-site

$90 - $130/hr

Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining * Experience with statistical and general-purpose programming languages for data ...

Elder Research Inc.

Data Scientist

Virginia, MN · On-site

$95 - $130/hr

Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build ...

Team Velocity Marketing

Senior Data Scientist

Virginia, MN · On-site

$160 - $220/hr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field. Master's or PhD preferred. * 5+ years of experience building and deploying production ML ...

New

J5 Consulting

Data Scientist

Virginia, MN · On-site

$120 - $160/hr

Introduction We are seeking a skilled Data Scientist to support mission-critical intelligence ... Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics ...

Jobtailor

Machine Learning Engineer

Virginia, MN · On-site

$150 - $190/hr

Collaborate with data engineers, data scientists, solutions architects, and product owners * Guide clients in navigating ML algorithms, tools, and frameworks Requirements * 2+ years of experience ...

Jobtailor

Data Architect

Virginia, MN · On-site

$140 - $210/hr

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field * FIVE (5) or more years of experience in data architecture, data engineering, or enterprise ...

Socket.dev

Lead, User Intelligence Research

Virginia, MN · On-site

$180 - $205/hr

Partner with CX, data scientists, analysts, and designers to identify domain-specific UX metrics. Assist in developing mechanisms to collect/measure UX metrics, conduct analysis using UX and other ...

Posted today

Stcnet

Mid-Level RF Spectrum Engineer

Virginia, MN · On-site

$120 - $150/hr

Our proven expertise and experience span scientific research, development, test and evaluation in areas such as earth and atmospheric sciences, engineering, data science and software engineering.

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All JobsData Science JobsData Science Jobs in Virginia, MN

Data Science information

See Virginia, MN salary details

$36.1K

$118.1K

$189K

How much do data science jobs pay per year?

As of Aug 17, 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 a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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.

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 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 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 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:

Data Science jobs near you
Infographic showing various Data Science job openings in Virginia, MN as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $118,060 per year, or $56.8 per hour.

Data Scientist

Jobtailor

Virginia, MN • On-site

$90 - $130/hr

Other

Posted 11 days ago

Job description

Responsibilities
  • Help turn complex data sets into useful information to solve global challenges
  • Work closely with clients to understand their questions and needs
  • Dig into data-rich environments to find pieces of their information puzzle
  • Develop algorithms and systems
  • Use the right combination of tools and frameworks to turn disparate data points into objective answers
Requirements
  • Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining
  • Experience with statistical and general-purpose programming languages for data analysis such as Python, R, or SQL
  • Knowledge of statistical analysis, predictive modeling, and machine learning methods
  • Ability to design and develop automated analytic software, techniques, and algorithms
  • TS/SCI clearance
  • Bachelor's degree
Hard Skills
  • data exploration
  • data cleaning
  • data analysis
  • data visualization
  • data science
  • data mining
  • Python
  • R
  • SQL
  • statistical analysis
Soft Skills
  • client collaboration
  • problem-solving
  • analytical thinking
Certifications & Qualifications
  • TS/SCI clearance
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