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Data Science Jobs in Virginia, MN (NOW HIRING)

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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 ...

Bridgestone

Lead Environmental Specialist

Tower, MN

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

Mesabi Metallics

Environmental Field Technician I

MN · On-site

$28 - $32/hr

Field Data Collection: Conduct environmental sampling (e.g., ore, water, soil) and conduct ... Bachelor's degree in environmental science, Environmental Engineering, or a related field, or ...

Cleveland-Cliffs, Inc.

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 ...

Barr

Geochemist - Senior Level (Hybrid)

Hibbing, MN · On-site +1

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

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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 Jul 26, 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.
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 July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% 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.

Director, Epidemiology RWE (Onco or Immunology)

1001 Syneos Health, LLC

Virginia, MN • On-site

$118K - $207K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Director, Epidemiology RWE (Onco or Immunology) Syneos Health is a leading fully-integrated life sciences services organization dedicated to accelerating customer success. Job Responsibilities Lead development of study protocols, analysis plans, and study reports to answer research questions of priority to RWE. Lead, design, and manage epidemiological, biomarker and/or data science projects. Lead, plan, design, and conduct analyses for internal and external decision making (e.g., responses to regulatory authorities, rapid analyses of safety queries). Lead the identification of fit‐for‐purpose data for the timely execution of the RWE strategy. Construct cohorts using RWD sources (e.g., claims, EHR) and evaluate key variables, including diagnosis and procedures codes, and plan validation studies as needed. Contribute to the communication of observational research results and methods, including development of pertinent sections of regulatory documents, reports, publications, white papers. Support the effective communication of study/analysis results to support internal and external decisions. Co‐author abstracts and manuscripts for external dissemination of methodologic study results. Contribute to the development of processes and training aimed at increasing the efficiency, quality, and impact of functional activities. Minimum Qualifications PhD in Epidemiology, Biostatistics, Psychometrics, or related field with a minimum of four (4) years of relevant post‐doctoral experience, preferably in pharmaceutical industry, biotechnology, or consulting environment. Master's degree in epidemiology, biostatistics, bioinformatics, or relevant scientific field, plus 7‐9 years of experience in lieu of PhD may be acceptable. Deep understanding of observational research methods and experience to support the design and conduct of observational research, including protocol, statistical analysis plan, and study report development. Extensive knowledge of secondary data sources and experience with secondary data analysis, including electronic medical record and/or medical claims databases. A record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation is preferred. Demonstrated ability to function with an increasing level of autonomy and to develop productive cross‐functional collaborations in a matrix environment. Ability to manage priorities and performance targets. Experience in leading drug development project for 2+ years for therapeutic area of assignment preferred. Benefits The benefits for this position may include a company car or car allowance, health benefits (medical, dental and vision), company match 401(k), eligibility to participate in Employee Stock Purchase Plan, eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Salary Salary Range: $118,700.00 - $207,800.00. The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. EEO & ADA The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. #J-18808-Ljbffr

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