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Entry Level Data Classification Jobs (NOW HIRING)

Robot Data Collectors All Shifts Available (Morning, Swing, Overnight) As a Robot Data Collector ... Eligibility requirements apply to some benefits and may depend on your job classification and ...

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Entry Level Data Scientiest

Manchester, NH · On-site

$16.50 - $22.25/hr

... image classification Desired Candidate Profile Skills required: Hands on experience Python ... Data Analysis (EDA) Hands on experience on platforms - Microsoft Azure/Amazon Web Services ...

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18.25 - $24.50/hr

... for image classification Desired Candidate Profile Skills required Hands on experience Python ... Data Analysis (EDA) Hands on experience on platforms - Microsoft Azure/Amazon Web Services ...

The Data Analyst I performs entry-level data analysis and data research work. Work involves ... A position utilizing this classification will be designated as security sensitive according to the ...

Data Engineer

Atlanta, GA

$110K - $132K/yr

This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar ... Support data classification, lineage, and governance initiatives * Participate in Data Champions ...

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Data Engineer

Atlanta, GA

$110K - $132K/yr

This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar ... Support data classification, lineage, and governance initiatives * Participate in Data Champions ...

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Entry-Level Data Center Technician Launch a New Career in Technology -- No Data Center Experience ... Eligibility requirements apply to some benefits and may depend on your job classification and ...

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Entry Level Data Classification information

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$28

How much do entry level data classification jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for entry level data classification in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Data Classification jobs? The most popular types of Data Classification jobs are:
Infographic showing various Entry Level Data Classification job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.

$45 - $48/hr

Other

Medical, Life

Posted 27 days ago


Job description

Job Description Hybrid -Westbrook, ME Job Description: The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution.

We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning. What you can expect: Develop classification and clustering models on tabular data to support hematology analyzer capabilities Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist Partner with senior team members to understand requirements, explore data, and validate model performance Document your work clearly so it can be reviewed, reproduced, and built upon by the team Deploy your solutions to edge hardware What you need to succeed: 0-2 years of experience applying machine learning to real-world problems (internships, research, and coursework projects count) Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy) Solid foundation in statistics, machine learning, and algorithms Demonstrated understanding of classification and clustering methods for tabular data, including when to apply which approach and how to evaluate results Curiosity about the data and the underlying generating processes - a habit of asking "why" before reaching for a model A growth mindset and willingness to learn from more senior team members Ability to communicate analyses and results clearly to your immediate team Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus Nice to have: Exposure to deploying ML models on resource-constrained or edge hardware Familiarity with model optimization techniques (quantization, ONNX, TFLite) Experience with version control (Git) and collaborative software development practices Experience modeling data for medical, diagnostic or life sciences applications