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Associate Data Processor Jobs (NOW HIRING)

Home Depot

Associate Data Scientist, Marketing

Atlanta, GA · On-site

$56K - $56K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive ... Optimizes Work Processes: Knowing the most efficient and effective processes to get things done ...

UL Solutions

Associate Data Scientist

Northbrook, IL · On-site

$60K - $60K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Collect, process, cleanse, and validate data from diverse operational sources for analysis and ...

AEG

Associate Data Scientist

Los Angeles, CA · On-site

$63K - $64K/yr

The Associate Data Scientist will support analytics and machine learning initiatives, assisting ... processes. • Ability to analyze data and identify trends, patterns, and actionable business ...

Brotherhood Mutual

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Associate Data Scientist FLSA Status: Exempt Job Family: Research & Development Department ... Execute the production of statistical models, tools, and processes. * Write programs to cleanse and ...

UL

Associate Data Scientist

Northbrook, IL · On-site

$60K - $61K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Collect, process, cleanse, and validate data from diverse operational sources for analysis and ...

Capital One

Principal Associate, Data Scientist

Mclean, VA · On-site

$59K - $60K/yr

Principal Associate, Data Scientist Data is at the center of everything we do. As a startup, we ... You love the process of analyzing and creating, but also share our passion to do the right thing.

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How much do associate data processor jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for associate data processor in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What jobs in the US pay 300,000 a year?

For an Associate Data Processor, earning $300,000 annually is uncommon, as this role typically offers lower compensation. High-paying jobs in data and technology fields, such as senior data scientists, machine learning engineers, or executive roles, can reach or exceed this level with experience, advanced skills, and often require specialized certifications or advanced degrees. Salary levels vary based on industry, location, and company size.

What is the work of a data processing associate?

A data processing associate is responsible for collecting, organizing, and inputting data into computer systems accurately and efficiently. They often use software tools like spreadsheets or database management systems and ensure data quality and integrity in their work environment.

Is a data processor a stressful job?

A data processor role typically involves repetitive tasks such as data entry and verification, which can be monotonous but generally are not highly stressful. The workload and deadlines can influence stress levels, especially during busy periods or with tight schedules, but the job usually requires attention to detail and basic computer skills. Overall, stress levels vary depending on the work environment and individual workload management.

How can I make 2000 a week working from home?

As an Associate Data Processor, earning $2000 a week typically requires high-volume work, efficient processing skills, and possibly working extra hours or taking on multiple clients. Increasing income may involve developing specialized skills, using automation tools, or working for companies that offer higher pay rates for data processing tasks. Achieving this level of income from home often depends on experience, workload, and the complexity of tasks performed.
What cities are hiring for Associate Data Processor jobs? Cities with the most Associate Data Processor job openings:
What are the most commonly searched types of Data Processor jobs? The most popular types of Data Processor jobs are:
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Associate Data Processor jobs near you
Research Associate Data Scientist

Research Associate Data Scientist

Cedars Sinai

Los Angeles, CA • On-site

$97K - $133K/yr

Full-time

Posted 13 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

34th of 1,004 rated hospitals

Job description


Research Associate Data Scientist (Cedars-Sinai Medical Center; Los Angeles, CA): Assist with the development, evaluation, and application of computational and statistical methods, including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data. Assist with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications. Create database-to-deployment pipelines for models using the necessary programming languages (primarily Python, R, and C++). Create sustainable data science infrastructure and adheres to data analysis/machine learning best practices. Perform exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods. Work with senior or lead data scientists, research programmers, and principal investigators to identify areas where data science can best be applied to answer biomedical research questions. Test and validate code to ensure robustness of data applications. Perform all other duties as assigned. Participate in the development of innovative algorithms and analytical methods. Participate in the evaluation and interpretation of all analytical methods and results. Participate in the oral and written communication of scientific results including publications.
Minimum requirements: Master's degree or foreign equivalent in Electrical Engineering, Computer Science, Machine Learning, Applied Mathematics, Biomedical Imaging, or related field, plus three (3) years of experience as a Research Associate Data Scientist, Computer Engineer, Biomedical Data Scientist, or related occupation.
Must have experience with the following: Python, C++, and R; developing, testing, validating, and optimizing production-level, version-controlled code (GitHub/GitLab and Azure DevOps) for algorithm development, statistical analysis, and deployment; implementing supervised and unsupervised learning algorithms (random forests, support vector machines, clustering, deep learning), with hands-on expertise training, fine-tuning, and deploying deep learning models using frameworks (PyTorch and TensorFlow), and adapting these methods to biomedical research problems; building end-to-end database-to-deployment pipelines including querying large relational databases (SQL), data cleaning, model training, validation, and deploying models in multiple computing environments; communicating scientific results effectively through peer-reviewed publications, patents, conference presentations, and internal technical reports; working with medical imaging data, including familiarity with industry-standard imaging formats (DICOM), image preprocessing workflows (segmentation, denoising, registration, resampling, and normalization), and use of imaging software libraries (SimpleITK, MONAI, or NiBabel) to prepare data for machine learning analysis; managing, processing, and optimizing large-scale 3D and 4D time-series datasets for deep learning model development on High-Performance Computing (HPC) or cloud-based GPU clusters.
Salary: $97,510 - $133,100 per year
To Apply: Any interested applicant may click on the APPLY NOW button above to apply for this position.
Job Req ID:18558
Responsibilities
  • Assists with the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
  • Assists with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
  • Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j).
  • Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
  • Performs data cleaning, quality control, and exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods
  • Assists research, senior research, and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
  • Tests and validates code to ensure robustness of data applications with version control through GitHub.

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