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

Our focus areas include Space, Connectivity, Cyber, Cloud, Analytics, and Research & Development. As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic ...

Data Science Tutor

Virginia Beach, VA ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Norfolk, VA ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Conduct hands-on data analysis and modeling in support of IE assessment, including data exploration, preparation, statistical analysis and the application of machine and deep learning and other ...

Conduct hands-on data analysis and modeling in support of IE assessment, including data exploration, preparation, statistical analysis and the application of machine and deep learning and other ...

Junior Data Analyst

Chesapeake, VA ยท On-site

$80K/yr

Ignite Digital is seeking a missiondriven Data Analyst to support a US Navy data analytics, cloud ... Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or another related field.

Data Analyst

Chesapeake, VA ยท On-site

$90K/yr

Ignite Digital is seeking a MidLevel Data Analyst to support a US Navy data analytics, cloud ... Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or another related field.

Data Scientist

Norfolk, VA ยท On-site

$80 - $100/hr

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

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 ...

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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.

Intercalibration Science & Data Analyst

Analytical Mechanics Associates

Hampton, VA โ€ข On-site

$35.42/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 10 days ago


Job description

Job Description:

Position Summary

Analytical Mechanics Associates (AMA), as part of the Research, Science, and Engineering Services (RSES) contract, seeks an experienced Data Analyst to join the CLARREO Pathfinder (CPF) Intercalibration Team and contribute to a flagship NASA Earth science mission focused on improving the accuracy and consistency of satellite observations. The Data Analyst will support the development, validation, and implementation of sophisticated intercalibration data analysis frameworks used to verify project requirements, evaluate science algorithms, and perform mission-critical analyses across multiple intercalibration targets.

The successful candidate will conduct scientific studies, statistical analyses, uncertainty assessments, and data product validation activities using CPF observations, simulation datasets, and reference targets. This position offers the opportunity to collaborate with scientists, engineers, and analysts within a highly visible and productive research team supporting NASA's Science Directorate.

For more information about the mission, visit:https://clarreo-pathfinder.larc.nasa.gov/

This is an onsite position and the salary range is $35.42/hour - 53.14/hour USD

Key Responsibilities

  • Conduct intercalibration sampling studies, data analysis, validation activities, and related investigations supporting comparisons between CPF and designated intercalibration targets.
  • Evaluate the performance of intercalibration science algorithms and validate algorithm outputs against mission requirements.
  • Develop, refine, and maintain CPF-target intercalibration analysis methodologies using:
    • CPF Level-1A High-Fidelity Simulator datasets
    • Existing target datasets
    • Additional proxy datasets as appropriate
  • Perform intercalibration analyses using measured Level-1 data products and various calibration targets, including:
    • Satellite instruments
    • Ground-based land sites
    • Lunar observations
    • Other designated reference targets
  • Conduct statistical analyses and quantify uncertainty propagation throughout the processing chain, including the characterization of aggregate uncertainties.
  • Assess the feasibility of CPF intercalibration approaches across a variety of targets and estimate anticipated uncertainty budgets.
  • Develop, modify, and maintain scientific analysis scripts and tools to:
    • Process large datasets
    • Generate diagnostic visualizations
    • Evaluate Level 4 intercalibration data products
    • Support routine validation and quality assessment activities
  • Collaborate closely with scientists, engineers, and analysts across the intercalibration subsystem to advance mission objectives and support verification and validation efforts.
  • Communicate technical findings through presentations, reports, and scientific discussions.

Required Qualifications

#1 - Experience working with Earth-observing passive remote sensing datasets, #2 - Proficiency in scientific programming and data processing workflows, #3 - knowledge of statistical methods and quantitative data analysis techniques in a Scientific environment

  • Master's degree in Atmospheric Science, Physical Science, Remote Sensing, Data Science, or related field.
  • Three (3) or more years of experience performing scientific data analysis.
  • Experience working with Earth-observing passive remote sensing datasets.
  • Demonstrated knowledge of statistical methods and quantitative data analysis techniques.
  • Proficiency in scientific programming and data processing workflows.
  • Strong verbal, written, and presentation communication skills.
  • Ability to work independently while contributing effectively within a multidisciplinary team environment.
  • Ability to meet NASA background investigation requirements for IT and facility access.
  • US Person

Preferred Qualifications

  • Experience programming in Python.
  • Experience with automated or batch data processing systems.
  • Experience working in collaborative scientific research environments.
  • Experience with satellite instrument intercomparisons and/or intercalibration analyses.
  • Familiarity with uncertainty quantification and error propagation methods.
  • Experience analyzing CERES, VIIRS, or similar Earth observation datasets.
  • Experience creating scientific visualizations and data quality assessment tools.

Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.


AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.