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Data Associate Jobs in Frederick, MD (NOW HIRING)

Carmax

Business Operations Associate- Full Time

Dulles, VA · On-site

$17.40 - $28/hr

Ability to read, interpret, and record data accurately for compliance and reporting. * Strong ... As an associate, you are part of an innovative movement to empower the modern customer and drive ...

New

BradyPLUS

Warehouse Associate

Hagerstown, MD · On-site

$17 - $21/hr

General information Name Warehouse Associate Ref # 3388 City Hagerstown State Maryland Country ... Basic computer skills to operate warehouse management systems, tools such as scanners, and data ...

Brady Plus

Warehouse Associate

Hagerstown, MD · On-site

$17 - $21/hr

Warehouse Associate We are in search of a Warehouse Associate to join our growing team. The ... Basic computer skills to operate warehouse management systems, tools such as scanners, and data ...

BradyPLUS

Warehouse Associate

Hagerstown, MD · On-site

$17 - $21/hr

The Warehouse Associate is responsible for performing a variety of tasks to support daily warehouse ... Basic computer skills to operate warehouse management systems, tools such as scanners, and data ...

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All JobsData Associate JobsData Associate Jobs in Frederick, MD

Data Associate information

See Frederick, MD salary details

$14

$32

$55

How much do data associate jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data associate in Frederick, MD is $32.89, according to ZipRecruiter salary data. Most workers in this role earn between $24.38 and $38.94 per hour, depending on experience, location, and employer.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What is a data associate?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

What are the key skills and qualifications needed to thrive as a data associate?

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a data associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Frederick, MD? The most popular types of Data jobs in Frederick, MD are:
What job categories do people searching Data Associate jobs in Frederick, MD look for? The top searched job categories for Data Associate jobs in Frederick, MD are:
What cities near Frederick, MD are hiring for Data Associate jobs? Cities near Frederick, MD with the most Data Associate job openings:
Data Associate jobs near you
Infographic showing various Data Associate job openings in Frederick, MD as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $68,401 per year, or $32.9 per hour.

NIST PREP Postdoc Associate in Interdisciplinary Data Science Research

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$85K - $95K/yr

Full-time

Posted 4 days ago

Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
The position is intended for either a postdoctoral associate with expertise in applied data science and a strong interest in interdisciplinary research. The successful candidate will work collaboratively with mathematicians and experimental scientists at NIST to develop mathematical and statistical algorithms for the uncertainty quantification of seized chemical samples. These methods will support the identification, classification, and quantification of trace chemical components, with a particular emphasis on data generated by mass spectrometry. A such, a central objective of the project is to develop advanced chemometric methods that improve the classification and identification of seized drug samples, ultimately enabling more accurate prediction of spatial and temporal changes in the illicit drug supply. The research is highly interdisciplinary and will require close collaboration with mathematicians developing computational models and algorithms, as well as experimental scientists responsible for collecting, processing, and interpreting the underlying measurement data.
Key responsibilities will include but are not limited to:
  • Implementing optimized calculations to study AI classification algorithms.
  • Assessing uncertainty in classification of experimental data.
  • Computationally testing mathematical models relating uncertainty quantification.
  • Significant software development (most likely python)
  • Disseminating results through posters/seminars at international meetings and university seminars
  • Ensuring that all results, findings, data, software...etc. have been correctly archived and transmitted through appropriate channels

Qualifications
  • Either a PhD degree (or close to completion) in data science or related field.
  • Minimum of 1 year of experience conducting data science research
  • Significant course work in mathematics, statistics and/or computer science
  • Familiarity with larger computational and AI/ML software packages
  • Ability to program in a modern computational language (e.g. python)

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0005035

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