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Associate Science Jobs in Grand Prairie, TX (NOW HIRING)

KPMG US

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering • Minimum of a Bachelor's degree is required • ...

KPMG

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred. Minimum of a Bachelor's degree is required.

KPMG

Data Scientist- Senior Associate

Dallas, TX · On-site

$58K - $58K/yr

Drive the delivery of robust data science features by taking ownership of specific modules from development and experimentation through to deployment * Engage in agile ceremonies and contribute to ...

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Associate Science information

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How much do associate science jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for associate science in Grand Prairie, TX is $18.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.09 and $19.57 per hour, depending on experience, location, and employer.

What is an associate science?

Associate Science jobs typically refer to positions that require an Associate of Science (AS) degree, which is a two-year undergraduate degree focused on foundational science and math courses. Graduates often work as laboratory technicians, research assistants, environmental science technicians, or healthcare support roles. These jobs provide hands-on experience in scientific settings and can serve as a stepping stone to a bachelor's degree or higher-level positions in science-related fields.

What does an associate science do?

Associate Science professionals in laboratory settings are commonly tasked with preparing and analyzing samples, maintaining lab equipment, and documenting experimental results. They often collaborate closely with senior scientists and research teams to ensure experiments run smoothly and data is accurately recorded. Regular responsibilities may also include participating in team meetings to discuss findings and troubleshoot issues, as well as adhering to strict safety protocols. This collaborative and detail-oriented environment provides valuable experience for those looking to advance in scientific research careers.

What are the key skills and qualifications needed to thrive as an associate scientist?

To thrive as an Associate Scientist, you need a solid background in biological or chemical sciences, often supported by a bachelor's or master's degree in a relevant field. Familiarity with laboratory techniques, data analysis software, and safety protocols is typically required. Strong attention to detail, critical thinking, and effective communication are vital soft skills for this role. These skills ensure accurate experimentation, reliable results, and effective collaboration within research teams.

What is the difference between Associate Science vs Laboratory Technician?

AspectAssociate ScienceLaboratory Technician
CredentialsAssociate degree in Science or related fieldAssociate degree or certification in laboratory techniques
Work EnvironmentEducational settings, research labs, healthcare facilitiesResearch labs, hospitals, industrial labs
Employer & IndustryColleges, universities, research institutions, healthcare providersMedical labs, biotech companies, manufacturing
Common Search & ComparisonYesYes

While both roles require an associate degree, Associate Science professionals often work in educational or research settings, focusing on scientific education and research. Laboratory Technicians typically work in clinical or industrial labs, performing tests and supporting scientific experiments. The main difference lies in their work environment and specific job functions, though both roles share similar educational requirements.

What can I do with just an associate science degree?

An Associate Science degree prepares individuals for entry-level roles in fields such as laboratory technician, research assistant, pharmacy technician, or quality control analyst. These positions often require knowledge of scientific methods, basic lab equipment, and sometimes certification or on-the-job training.

What are the most commonly searched types of Science jobs in Grand Prairie, TX?

The most popular types of Science jobs in Grand Prairie, TX are:

What job categories do people searching Associate Science jobs in Grand Prairie, TX look for?

The top searched job categories for Associate Science jobs in Grand Prairie, TX are:

What cities near Grand Prairie, TX are hiring for Associate Science jobs?

Cities near Grand Prairie, TX with the most Associate Science job openings:

Associate Science jobs near you
Infographic showing various Associate Science job openings in Grand Prairie, TX as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $39,118 per year, or $18.8 per hour.

Data Scientist- Associate

Dallas, TX • On-site

KPMG US
See more jobs at KPMG USexternal

$58K - $58K/yr

Full-time

Re-posted yesterday

Job description

Job Summary:
KPMG is a renowned company providing audit, tax, and advisory services across important industries. They are currently seeking a Data Scientist to join their Audit Technology Alliance organization, focusing on developing generative AI solutions and collaborating with teams to enhance technology applications.
Responsibilities:
• Develop and implement core components of generative AI solutions, including RAG pipelines and context engineering features, within our established architecture; driving quality into prompt engineering and optimization for business use cases
• Support senior team members in the implementation of RAG pipelines and context engineering systems by building and testing specific modules
• Collaborate with AI engineers and other data scientists to integrate model outputs into the broader microservice architecture
• Focus on learning and applying our technology stack, including LangChain/LangGraph, Azure AI Search, and our AKS-based infrastructure
• Drive product advancement by diligently executing experiments, documenting results, and contributing to our culture of continuous improvement
• Participate actively in agile ceremonies and contribute to the team's collective knowledge of generative AI, audit methodologies, and best practices
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering
• Minimum of a Bachelor's degree is required
• Foundational knowledge of machine learning concepts and Python for data analysis; familiarity with LLMs and frameworks like LangChain is preferred
• Exposure to cloud platforms (preferably Azure) and data platforms like Databricks or Microsoft Fabric
• Familiarity with the principles of the software development lifecycle (SDLC) and version control tools like ADO and Github
• Strong analytical and problem-solving skills, with an eagerness to learn and a collaborative, team-oriented mindset (200TEC)
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Preferred:
• Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred
• Familiarity with LLMs and frameworks like LangChain is preferred
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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