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Data Science Jobs in Charlottesville, VA (NOW HIRING)

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Duties This role encompasses both Data Science and Data Engineering disciplines and requires raw coding experience without AI assisted IDEs. Duties typically include: * Conducting data analytics ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Duties This role encompasses both Data Science and Data Engineering disciplines and requires raw coding experience without AI assisted IDEs. Duties typically include: * Conducting data analytics ...

NALLEY CONSULTING

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

Responsibilities : • Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$120 - $170/hr

Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical ...

CACI

Data Migration SME

Charlottesville, VA · On-site

Required: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Previous experience as a Database Engineer and proven experience in data migration ...

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Data Science information

See Charlottesville, VA salary details

$37.2K

$121.8K

$194.9K

How much do data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science in Charlottesville, VA is $121,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,900.00 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 are the most commonly searched types of Data Science jobs in Charlottesville, VA?

The most popular types of Data Science jobs in Charlottesville, VA are:

What are popular job titles related to Data Science jobs in Charlottesville, VA?

For Data Science jobs in Charlottesville, VA, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Charlottesville, VA look for?

The top searched job categories for Data Science jobs in Charlottesville, VA are:

What cities near Charlottesville, VA are hiring for Data Science jobs?

Cities near Charlottesville, VA with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Charlottesville, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $121,764 per year, or $58.5 per hour.

Student Operations Assistant - School of Data Science (Student Wage)

The University of Virginia

Charlottesville, VA • On-site

$16 - $18/hr

Part-time

Posted 7 days ago

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

213th of 631 rated colleges and universities

Job description

***Federal work-study students only***
Student Operations Assistant - School of Data Science
Position Overview:
The School of Data Science is hiring motivated and reliable student workers to support daily building operations, events, and basic IT/AV needs. This role is ideal for students who are detail-oriented, proactive, and comfortable managing multiple responsibilities in a professional setting. You'll be part of a team that helps keep the building running smoothly-from restocking kitchens and supplies to assisting with event setup and tech inventory.
Key Responsibilities:
Daily Operations
  • Serve as a friendly, professional presence at the front desk and provide directions or information to visitors.
  • Restock kitchen and bathroom supplies, wipe down surfaces, and report when inventory needs to be reordered.
  • Monitor classroom and shared spaces for cleanliness and supply levels (e.g., whiteboard markers, paper towels).
  • Accept, sort, and deliver mail and packages; assist with putting away inventory deliveries.
  • Maintain a daily parking log for reserved and visitor spots.

Weekly & As-Needed Tasks
  • Perform weekly inventory checks across supply rooms, kitchens, bathrooms, and satellite buildings; compile a purchase list.
  • Clean conference rooms and shared fridges; ensure tackboards and wellness rooms meet posted standards.
  • Assist with routine building support projects and respond to task requests from administrative staff.

Event & Tech Support
  • Provide set-up and take-down support for internal events.
  • Assist with AV setup, equipment inventory, and occasional IT projects (e.g., software upgrades, equipment surplus coordination)

Qualifications
  • Current UVA student in good academic standing.
  • Strong organizational and time-management skills.
  • Friendly, dependable, and detail-oriented.
  • Basic tech comfort preferred (especially for those interested in IT or operations support).
  • Ability to lift up to 25 lbs on occasion.

Compensation: $16.00-$18.00 per hour
Position Type: Part-Time | Hourly (~10 hours per week)| Academic Year
Location: University of Virginia - School of Data Science
MINIMUM REQUIREMENTS
Resume and cover letter required.
Education: Current UVA student. Federal work-study eligible.
Experience: None
Licensure: None
PHYSICAL DEMANDS
Ability to lift up to 25 lbs on occasion.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment.

What University Of Virginia employees say

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About University of Virginia

Sourced by ZipRecruiter

The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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