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Data Science Jobs in Virginia, MN (NOW HIRING)

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 ...

Avalore, LLC

Data Scientist

Virginia, MN · On-site

$89 - $202/hr

This person will stay current with advances in data science techniques, evaluate new algorithms and approaches for potential adoption, and mentor junior data scientists. This person will ensure ...

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 ...

Worky

Data and Software Programmer

Virginia, MN · On-site

$90 - $140/hr

Bachelor's degree in software design, computer science, data science * Demonstrated ability to work effectively within or lead a team of peers, as well as excellent interpersonal and communications ...

Team Velocity Marketing

Senior Data Engineer

Virginia, MN · On-site

$90 - $130/hr

This individual will partner with Product, Engineering, Business Intelligence, Data Science, and business stakeholders to deliver scalable data solutions that support operational, analytical, and AI ...

Strategic Data Systems, Inc.

Power BI SME

Virginia, MN · On-site

$80 - $110/hr

Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field. Master's degree preferred but not required. * Active Secret security clearance. * IAT Level II ...

Avalore, LLC

Data Engineer

Virginia, MN · On-site

$97 - $181/hr

This person will collaborate with data scientists and analysts to understand data requirements, work with security teams to implement data protection measures, and stay current with data engineering ...

New

Variyasinc

Data Analyst

Virginia, MN · On-site

$65 - $85/hr

As a Data Analyst you will analyze large sets of data to identify trends and insights and design ... Bachelor's degree in Computer Science or Business Analytics or Bachelor of Engineering in relevant ...

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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 Sep 6, 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.

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 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 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 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.

Is a data scientist in high demand?

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 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.
More about Data Science jobs

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 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $118,060 per year, or $56.8 per hour.

Data Scientist

Elder Research Inc.

Virginia, MN • On-site

$95 - $130/hr

Other

Re-posted 2 days ago

Key responsibilities

  • Lead the development, training, and maintenance of predictive models using advanced analytical methods such as time series forecasting and NLP.

  • Engage in requirements gathering and data analysis to connect business use cases with underlying data patterns, and define solutions for ambiguous problems.

  • Utilize data engineering skills to integrate, deploy, and troubleshoot analytical solutions, ensuring scalability and operational reliability.

Job description

Career Opportunities with Elder Research

A great place to work.

Locations: USA-VA-Arlington OR USA-NC-Raleigh

Posting Date: 06/12/2026

Security Clearance Required: NONE

Remote Type: Hybrid

Time Type: Full time

Data Scientist - Hybrid (Raleigh, NC or Washington DC)

Elder Research Inc., a wholly owned subsidiary of MANTECH International Corporation, seeks a motivated, career and customer-oriented Data Scientist to join our team in Raleigh, NC or Washington DC. This role is hybrid, and candidates must be located in the Raleigh or Washington, DC market to support 1–2 days onsite per week.

This role is for a highly experienced and curious data scientist to lead the full-lifecycle development and deployment of analytical solutions at Elder. You will operate as a critical member of an analytics team, acting as a trusted advisor to diverse client partner team. The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.

Responsibilities
  • 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, train, and maintain predictive models. Additionally, candidate should be capable of leading and mentoring more junior data scientists.
  • Problem Solver and Consultant: Engage in critical requirements gathering and data "sleuthing" (approximately 10-20% of the role) to connect business use cases with underlying data patterns. You will carve your own path to define and solve problems that lack clear initial definitions.
  • Deliver Automation and Insights: Partner with technical and non-technical groups to identify manual processes and provide recommendations for automation, including building models for functions like anomaly detection and case prediction.
  • Full-Lifecycle Ownership: Utilize data engineering skills to integrate and deploy your analytical solutions, ensuring scalability and operational reliability. This includes troubleshooting deployment issues as needed.
  • Collaborate and Communicate: Interface with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives.
Minimum Qualifications
  • 5+ years of experience as a Data Scientist.
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences.
  • Proficiency in Python, including libraries for data analysis and modeling.
  • Strong SQL experience to facilitate deep dives and analysis of complex datasets.
  • Strong hands‑on experience with AWS services, Sagemaker, Lambda, Step Functions, Glue, S3, and Athena, used to build and manage production data pipelines.
  • Knowledge of CI/CD pipelines, version control (Git), and Infrastructure-as-Code.
  • Familiarity with logging, monitoring, and alerting using CloudWatch or similar tools.
  • Understanding of IAM roles, policies, and security best practices for AWS services.
  • Curiosity and a passion for exploring data to understand business context and connect technical work to real‑world impact.
  • Willingness to learn new tools/techniques.
Preferred Qualifications
  • Familiarity with AWS Cloud Development Kit (CDK) and/or Typescript.
  • Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.
  • Strong consultative and communication skills, capable of representing the team effectively to clients.
  • Ability to work autonomously in a fully remote, flexible environment.
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM).

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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