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Data Analyst Data Science Jobs in Hampton, VA (NOW HIRING)

Data Scientist

Chesapeake, VA ยท On-site

$100K - $135K/yr

Use statistical analysis and other data science methodologies to identify patterns, trends, and insights within data sets. Proficiency in coding languages is essential to this role utilizing common ...

Data Analyst Healthcare (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a detail-oriented Data Analyst Healthcare (2-3 years experience) to support healthcare ...

Sr. Data Analyst

Virginia Beach, VA ยท On-site

$130K/yr

The Senior Data Analyst collaborates with engineering, product, and subject matter experts to ... Bachelor's degree in Health Informatics, Public Health, Statistics, Computer Science, Data Science ...

The Senior Data Analyst collaborates with engineering, product, and subject matter experts to ... Bachelor's degree in Health Informatics, Public Health, Statistics, Computer Science, Data Science ...

Sr. Data Analyst

Virginia Beach, VA ยท On-site

$130K - $160K/yr

The Senior Data Analyst will work closely with Data, Technology, and Operational teams to analyze ... Bachelor's degree in Health Informatics, Public Health, Statistics, Computer Science, Data Science ...

New

Data Scientist

Langley, VA ยท On-site

$99K - $225K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 4+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining ...

Data Scientist

Hampton, VA ยท On-site

$99K - $225K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 4+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining ...

Senior Data Analyst

Chesapeake, VA ยท On-site

$100K/yr

Ignite Digital is seeking an experienced Senior Data Analyst to lead advanced analytics efforts ... Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.

Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will ... The data analyst will be responsible for all of the following to include but not limited to:

Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will ... The data analyst will be responsible for all of the following to include but not limited to:

Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will ... The data analyst will be responsible for all of the following to include but not limited to:

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Showing results 21-40

Data Analyst Data Science information

See Hampton, VA salary details

$32.9K

$79.9K

$131.4K

How much do data analyst data science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst data science in Hampton, VA is $79,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

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

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

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

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

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

Infographic showing various Data Analyst Data Science job openings in Hampton, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,866 per year, or $38.4 per hour.

Data Scientist

MI Technical Solutions

Chesapeake, VA โ€ข On-site

$100K - $135K/yr

Full-time

Re-posted 6 days ago


Job description

MI Technical Solutions is a Woman-Owned Small Business (WOSB) comprised of a broad range of talented employees that provide diversified engineering and technical support services since 2004! Our team works tirelessly to build a respected, results-oriented brand. We are headquartered in Chesapeake, VA with employees located near each of the Navy Fleet Centers within the continental United States (San Diego, Jacksonville, Seattle, New England, Norfolk) as well as Hawaii and Japan. 


*Must have active DoD Security Clearance*


Position Description: 

MI Technical Solutions is seeking a Data Scientist to join its team. In this role, the Data Scientist is responsible for gathering and analyzing data, organizing, and documenting findings of

studies, and preparing recommendations for implementing new systems, procedures, or organizational changes.


Responsibilities:

• Provide senior level oral and written communication skills to effectively communicate with higher command levels (GS-15, O-6 level) orally and in writing.

• Provide support using Naval data sources and repositories, Ship Maintenance databases, Shipyard databases, and Ship Supply databases.

• Provide advanced experience related to importing daily/weekly/monthly data sources, running pre-programmed macros, and relaying issues experienced to the development team.

• Provide advanced experience working with data visualization tools.

• Validate outputs from Data Visualization tools (such as Tableau and Advana Databricks) with the raw data source.

• Gather and analyze data, organize, and document findings of studies, and prepare recommendations for implementing new systems, procedures, or organizational changes.

• Collate information into meaningful reports and presentation material.

• Metamorphose raw data into viable and readable formats for display, and decision utilization by leadership.

• Design, build, test, blend, manage, and optimize all types of relevant data utilizing numerous sources, some described above.

• Use statistical analysis and other data science methodologies to identify patterns, trends, and insights within data sets.

Proficiency in coding languages is essential to this role utilizing common programming languages including, but not limited to, Python and R.


Requirements:

• DoD Secret Clearance 

• Bachelor's degree in Computer or Data Science

• Minimum of 5 or more years’ experience in the use of data visualization software and advanced ability in utilizing common programming languages to include Python and R

• Minimum of 5 or more years’ experience handling project planning and scheduling data such as with Microsoft Project or other schedule management tools

• Minimum of 5 or more years’ experience with Microsoft Products, including Word, Excel, Outlook, and PowerPoint

• Minimum of 5 years’ experience monitoring the operation of assigned programs, collected data, and responds to problems by diagnosing and correcting errors in logic and coding

• Minimum of 5 years’ experience in providing a full range of data science methodologies to produce meaning insight from numerous and diverse data sources

• Effective writing, speaking, and analytical skills


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.