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Retail Data Collection Jobs in Virginia (NOW HIRING)

rockITdata

Full Stack Data Scientist

Arlington, VA · On-site +1

Data Collection and Preprocessing: * Develop robust data pipelines for acquiring, cleaning, and ... Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or ...

Advantage Solutions

Category Manager

Richmond, VA

$64K - $84K/yr

Essential Job Duties and Responsibilities Data Collection & Analysis * Leverages syndicated scan ... retailer, or manufacturer) Skills, Knowledge and Abilities * Intellectually curious, eager to ...

Trex

Retail E-Commerce Specialist

Winchester, VA

$70K - $90K/yr

Ensure data accuracy and consistency across retailer systems and digital platforms * Maintain ... Partner with Bazaarvoice to support ratings and reviews collection and syndication * Monitor review ...

Trex Company

Retail E-Commerce Specialist

Winchester, VA · On-site

$70K - $90K/yr

Ensure data accuracy and consistency across retailer systems and digital platforms * Maintain ... Partner with Bazaarvoice to support ratings and reviews collection and syndication * Monitor review ...

RetailData

Data Scanning Associate / Full-Time

Henrico, VA · On-site

$14.50 - $18.75/hr

We have been the leading provider of retail intelligence to the largest retailers in the world for ... projects require collection of items in these store aisles. Comfortable engaging with store ...

CREtelligent

ALTA/NSPS Surveyor Independent Contractor

VA · On-site +1

$50 - $100/hr

Experience with commercial, industrial, retail, and multifamily properties is a plus. * Established ... property inspection, data collection, and photography of subject and adjacent properties. We ...

VECTORNET

Reality Capture Technician

Midlothian, VA · On-site

$18.25 - $25/hr

Conduct site visits to perform 3D scanning and data collection, ensuring efficient and precise data ... retail environments (required) * 2 years of LiDAR scanning experience in heavy industrial ...

Amazon

Sr. Research Scientist, AWS Security

Herndon, VA

$101K - $129K/yr

... scale data collection across diverse customer segments, including technical and non-technical ... retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In ...

Amazon

Sr. Research Scientist, AWS Security

Herndon, VA

$101K - $129K/yr

... scale data collection across diverse customer segments, including technical and non-technical ... retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In ...

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All JobsRetail Data Collection JobsRetail Data Collection Jobs in Virginia

Retail Data Collection information

See Virginia salary details

$13

$31

$63

How much do retail data collection jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for retail data collection in Virginia is $31.93, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $39.09 per hour, depending on experience, location, and employer.

What does a typical day look like for someone working in Retail Data Collection?

A typical day in Retail Data Collection involves visiting store locations, gathering product, pricing, or inventory data by scanning barcodes, photographing displays, or conducting visual audits, and accurately entering that information into digital systems. You might work independently or as part of a small team, often coordinating with store managers or retail staff to access specific areas. The role can require travel between multiple store locations and adherence to specific collection schedules. Attention to detail and time management are crucial, as your work directly supports business analytics and strategic decisions for the company.

What are the key skills and qualifications needed to thrive in the Retail Data Collection position, and why are they important?

To excel in Retail Data Collection, you need strong attention to detail, analytical abilities, and familiarity with data entry or survey methodologies, often supported by a high school diploma or relevant experience. Experience with data collection tools, handheld scanners, mobile apps, or inventory management systems is beneficial. Excellent communication, organizational skills, and reliability set candidates apart in this position. These competencies ensure accurate, timely data capture and facilitate meaningful insights for retail decision-making.

What is a Retail Data Collection job?

A Retail Data Collection job involves gathering and analyzing data from retail stores to track product availability, pricing, promotions, and consumer behavior. This data helps businesses make informed decisions about inventory management, marketing strategies, and product placement. Workers may collect data manually through store visits or use digital tools such as mobile apps and scanners. Accuracy and attention to detail are important in this role, as the information gathered directly impacts business decisions.

What are the most commonly searched types of Retail Data Collection jobs in Virginia? The most popular types of Retail Data Collection jobs in Virginia are:
What are popular job titles related to Retail Data Collection jobs in Virginia? For Retail Data Collection jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Retail Data Collection jobs in Virginia look for? The top searched job categories for Retail Data Collection jobs in Virginia are:
Retail Data Collection jobs near you
Infographic showing various Retail Data Collection job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $66,411 per year, or $31.9 per hour.
Full Stack Data Scientist

Full Stack Data Scientist

rockITdata

Arlington, VA • On-site, Remote

Full-time

Re-posted 4 days ago

Job description

Driven by Innovation and built on Trust, rockITdata is a unique SDVOSB services company that partners with leading commercial healthcare/life sciences organizations on cutting edge innovations - think AI, automation and data transformation. We then bring those commercially tested solutions to government entities to deliver predictable, measurable impact for the American taxpayer and consumer.
We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in both data science and software engineering, with a focus on developing end-to-end data-driven solutions. This role offers an exciting opportunity to leverage advanced analytics and cutting-edge technologies to drive impactful business outcomes. This is a Remote position.
Key Responsibilities
  • Data Collection and Preprocessing:
    • Develop robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets from various sources.
    • Implement strategies for data quality assessment and assurance to ensure reliable analysis outcomes.
  • Exploratory Data Analysis and Visualization:
    • Conduct comprehensive exploratory data analysis to uncover patterns, trends, and insights within the data.
    • Create interactive visualizations and dashboards to effectively communicate findings to stakeholders.
  • Machine Learning Model Development:
    • Design, develop, and deploy predictive models using advanced machine learning algorithms and techniques.
    • Optimize model performance through feature engineering, hyperparameter tuning, and model selection.
  • Software Development and Integration:
    • Build scalable and efficient software solutions for deploying machine learning models into production environments.
    • Integrate data science workflows with existing systems and applications to enable seamless data-driven decision-making.
  • Performance Monitoring and Maintenance:
    • Establish monitoring mechanisms to track the performance of deployed models and identify opportunities for improvement.
    • Conduct regular maintenance activities to ensure the reliability, stability, and scalability of data science solutions.
  • Collaboration and Cross-functional Communication:
    • Collaborate closely with cross-functional teams including data engineers, software developers, and business stakeholders.
    • Communicate technical concepts and findings effectively to both technical and non-technical audiences.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • Proven experience in data preprocessing, exploratory data analysis, and feature engineering.
  • Expert-level skills in data visualization platforms (e.g. Qlik, Tableau, Power BI)
  • Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis.
  • Strong understanding of machine learning algorithms and statistical modeling techniques.
  • Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
  • Experience in developing and deploying end-to-end data science solutions in cloud environments (e.g., AWS, Azure, GCP).
  • Solid understanding of software engineering principles and best practices for building scalable and maintainable code.

Preferred Qualifications
  • Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or Manufacturing industries.
  • Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Knowledge of DevOps practices for continuous integration and deployment (CI/CD).
  • Experience with distributed computing frameworks for parallel processing (e.g., Dask, Ray).
  • Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.

#LIREMOTE
Here at rockITdata, we are committed to following our 10 Guiding Principles.
Our Guiding Principles define our culture. They're who we are, how we work, and what inspires us to be the best. We empower our people to be themselves and encourage an entrepreneurial way of thinking. In our challenging, fast-paced environment, no day is the same.
Know the Why.
Value People Above All Else.
Transparency to a Fault.
Progress, Not Perfection.
Be Good by Doing Good.
Smart People Can Disagree.
Bend but Don't Break.
Represent Your Brand.
Think Differently.
Be Amazing, Be Fearless, Smile, Have Fun!
Interested in joining something unique? Join us on our rockIT ship as we begin to blast off to the next chapter in our organization!
rockITdata has become aware of a recruitment scam where unauthorized individuals are impersonating rockITdata recruiters, issuing fake job offers, and attempting to setup payment for the job seeker's new hire costs. No one is ever required to complete any monetary transactions before starting employment with rockITdata. Legitimate rockITdata communications only come from @rockitdata.com email addresses and our official Applicant Tracking system, JazzHR (@applytojob.com email addresses). Please refer to our official Careers page at www.rockitdata.com/careers to accurately submit your application with us. You may also verify any suspicious communication by contacting our recruitment team directly through our official email, dreamjob@rockitdata.com.
rockITdata is an equal opportunity employer and is committed to non-discrimination in all employment practices and decisions. All qualified applicants will receive consideration for employment without regard to disability status, veteran status or any characteristic protected by Federal, state, or local law.
rockITdata wants all interested and qualified candidates to be able to use our career site to review and apply for employment opportunities. If you have a disability and need an accommodation to access the application process, please contact us for assistance at dreamjob@rockitdata.com.

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