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Data Collection Associate Jobs in Washington (NOW HIRING)

MDW Associates

Data Scientist

Arlington, VA · On-site

MDW Associates is seeking a Data Scientist to support the US Postal Services Inspector General ... Independently perform comprehensive and efficient data collection and analysis of a variety of data ...

MDW Associates

Data Scientist

Arlington, VA · On-site

$120K - $135K/yr

MDW Associates is seeking a Data Scientist to support the US Postal Services Inspector General ... Independently perform comprehensive and efficient data collection and analysis of a variety of data ...

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How much do data collection associate jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data collection associate in Washington is $23.39, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $26.15 per hour, depending on experience, location, and employer.

What is a data collection associate?

Data Collection Associates are professionals responsible for gathering, recording, and verifying data for a variety of purposes such as research, analysis, or business operations. They may collect information through surveys, interviews, observations, or by compiling data from existing records. Their work ensures that organizations have accurate and reliable data to inform decision-making, strategy, and reporting. Data Collection Associates often work in sectors like healthcare, market research, education, and government.

What are some common challenges faced by data collection associates and how can they be managed effectively?

Data Collection Associates often encounter challenges such as ensuring data accuracy, maintaining consistency across multiple sources, and meeting tight deadlines. Effective management involves following standardized protocols, double-checking entries for errors, and using digital tools to streamline data capture. Collaborating closely with team members and supervisors can help resolve ambiguities and improve overall data quality. Regular training and feedback sessions also contribute to overcoming these challenges and enhancing performance.

What are the key skills and qualifications needed to thrive as a data collection associate, and why are they important?

To thrive as a Data Collection Associate, you need strong attention to detail, data entry skills, and familiarity with research or survey methodologies, often supported by a relevant degree or coursework. Proficiency with data collection tools, spreadsheets like Microsoft Excel, and sometimes survey platforms or database systems is typically required. Excellent organization, communication, and problem-solving skills help ensure accurate, timely data gathering and collaboration with team members. These skills and qualities are crucial for producing reliable datasets that support accurate analysis and informed decision-making.

Is data collection a good job?

Data collection as a job involves gathering information for research, marketing, or analysis purposes. It often requires attention to detail, basic computer skills, and can be part-time or full-time, with pay varying based on experience and complexity of tasks. The role can be suitable for those seeking flexible schedules or entry-level work, but it may involve repetitive tasks and limited advancement opportunities.

What skills are needed for data collection associate jobs?

Data Collection Associates need strong attention to detail, good organizational skills, and the ability to follow instructions accurately. Proficiency with data entry tools, basic computer skills, and sometimes familiarity with databases or spreadsheets are also important. Good communication skills and the ability to work independently or as part of a team are beneficial for success in this role.

What are the most commonly searched types of Data Collection jobs in Washington?

The most popular types of Data Collection jobs in Washington are:

What are popular job titles related to Data Collection Associate jobs in Washington?

For Data Collection Associate jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Collection Associate jobs in Washington look for?

The top searched job categories for Data Collection Associate jobs in Washington are:

What cities in Washington are hiring for Data Collection Associate jobs?

Cities in Washington with the most Data Collection Associate job openings:

Data Collection Associate jobs near you
Infographic showing various Data Collection Associate job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $48,645 per year, or $23.4 per hour.

Data Scientist

MDW Associates

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago

Job description

MDW Associates is seeking a Data Scientist to support the US Postal Services Inspector General's Office (OIG). The successful candidate will work to design and build large dataset Artificial Intelligence, Machine Learning and Data Analysis tools, and solutions.

This position is on-site 4 days a week at our USPS customer site in Arlington, VA.

The Data Scientist may perform a combination of some or all of the following duties:

  • Work independently and within teams to use the necessary data extraction, manipulation, and aggregation techniques to prepare, clean, normalize, and validate data to complete varied projects and tasks.
  • Research, design, and develop visualization solutions using a range of methods which support investigative and audit products.
  • Design experiments, tests hypotheses, and build scalable models using data science and artificial intelligence (e.g. machine learning) methods.
  • Design, develop, and adapt mathematical, statistical, econometric, and other analytical solutions for audit, investigation, research, and support functions.
  • Lead artificial intelligence activities such as natural language processing, predictive analytics, and machine learning model development, training, evaluation, testing, refinement, deployment, and maintenance.
  • Translate complex technical findings into an easily understood narrative.
  • Prepare comprehensive documentation for requirements, test plans, user manuals, technical diagrams, and training materials.
  • Develop project communications and maintain effective working relationships between project teams, stakeholders, and management.
  • Provide advice on issues affecting projects, such as data access, quality, storage, and other related needs.
  • Contribute to and present training and conference materials to large audiences.
  • Independently perform comprehensive and efficient data collection and analysis of a variety of data sources to develop trends, descriptive statistics, or other insights.
  • Use expert level knowledge to identify and develop sources of information from structured and unstructured data, criminal intelligence databases, public information sources, internal Postal Service databases, reference manuals, and audit and law enforcement reports.
  • Independently research, extract, evaluate, interpret, and visualize data and information as actionable intelligence for auditors and investigators to detect, prevent, and respond to fraud, waste, and abuse.
  • Use relational databases, data lakes, data lakehouses, and other data environments to create a variety of analytic products such as business intelligence tools, summary tables, comparison graphs, or temporal, association, and link analysis charts.
  • Interact with other agencies and build relationships with peers to share information and learn the latest developments in analytical tools and techniques to effectively support the OIG with mission related work.
  • Develop substantial knowledge of database applications and environments and share expertise with coworkers in support of agency goals and objectives.
  • Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
  • Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
  • Assist with training and conference development which may include presentations to large audiences.
  • Facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Ensure that quality/security guidelines are followed.
  • Coordinate with staff and customers to identify business and technical requirements.
  • Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.
  • Assist the organization in the development of programming and visualization solutions.
  • Troubleshoot and provide support on existing projects or application efforts.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.

Required Experience/Skills:

  • 5+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
  • 3+ years' experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods.
  • At least 1 years of experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
  • Experience with Azure DevOps and/or GitHub to support continuous integration and delivery pipelines, and operate within Agile frameworks to iteratively deliver highquality data products, machine learning models, and artificial intelligence solutions.
  • Develop, manage, and optimize automated data pipelines to ensure data integrity, support reliable analytics workflows, and enable effective collaboration across teams.
  • Integrate disparate and diverse data sources-including flat files, relational databases, and external systems-using techniques such as JDBC/ODBC connections, REST APIs, and webscraping methods to support robust analytics and datadriven decisionmaking.
  • Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.
  • Knowledge of ODBC connection strings, and other external data source connection protocols.
  • Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.
  • Knowledge and experience using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods.
  • Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).
  • Knowledge of AWS or Azure Services, including Databricks, Data Factory, Data Lakehouses, and Data Lake.
  • Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Proficiency in common data science tools and programming and scripting languages such as SQL, Python, R, and JavaScript with a proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
  • Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
  • Skill using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods.
  • Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
  • Strong relational database and querying languages experience.
  • Strong verbal and written communication skills.
  • Must be able to work effectively in a team environment.
  • Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).

Desired Experience/Skills:

  • Specialized experience working with programming languages (e.g., Python), business intelligence tools (e.g., Power BI), and analytics platforms (e.g., Databricks).
  • Knowledge and experience in the law enforcement and/or audit industry
  • Knowledge and experience using cloud computing platforms such as Azure
  • Knowledge and experience with relational databases and structured query language (SQL)
  • Experience working with contract, procurement, and accounts payable (AP) data to identify trends, anomalies, and potential risks in support of contract oversight activities.
  • Experience using PySpark/PySpark SQL to process, transform, and analyze large-scale datasets.

Education Requirement(s):

  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, or related field.

Security Requirement(s):

  • Public Trust - Candidates for this position must be submitted for a background investigation in order to satisfy government requirements.

Company Description

Incorporated in 2012, MDW is a small business headquartered in McLean, VA with offices in Huntsville, AL. We provide Federal government clients with consulting, management services, advisory and assistance services, decision support, strategic planning, process planning and improvement, task execution and metrics analysis. Our mission is to make our clients more successful by providing honest assessments, exceptional analysis, prudent advice, direct communication, and hard work.

Our core capabilities include:

  • Strategic Planning
  • Cost Estimating
  • Budget Programming and Justification
  • Budget Execution
  • Acquisition Management
  • Financial Systems Support & Integration

MDW Associates, LLC ("MDW") is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, religion, color, sex, national origin, age, marital status, covered veteran status, mental or physical disability, pregnancy or any other unlawful basis unrelated to the ability to do the job. MDW seeks to employ talented, ethical, and entrepreneurial-minded persons. Our applicants and employees are protected from discrimination as required by Federal law.

Additional Information

We offer a competitive and comprehensive benefits and compensation package for our employees, including but not limited to:

  • Health
  • Dental
  • Vision
  • Group Life Insurance/Long Term Disability/Short Term Disability
  • Retirement/401(k)
  • Flexible Leave Policy

All your information will be kept confidential according to EEO guidelines.

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