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Science Jobs in Camden, AR (NOW HIRING)

Murphy USA

Data Scientist I

El Dorado, AR · On-site

... science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large ...

Murphy USA

AI Cloud Engineer III

El Dorado, AR · On-site

$49.50 - $66.25/hr

Work closely with data scientists, AI engineers, and application teams to integrate, deploy, and support AI capabilities within customer-facing and internal systems, including mobile applications.

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$20.8K

$41K

$67K

How much do science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for science in Camden, AR is $41,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $44,100.00 per year, depending on experience, location, and employer.

What are science jobs?

Science jobs encompass a wide range of careers that involve researching, analyzing, and applying scientific principles to solve problems and advance knowledge. These roles can be found in various fields such as biology, chemistry, physics, environmental science, and more. Science professionals may work in laboratories, research institutions, academia, industry, or government agencies, often focusing on experimentation, data analysis, and innovation. Their work contributes to technological advancements, public health, environmental protection, and education.

What science careers are in demand?

As technology continues to advance, the demand for science professionals continues to increase. One of the science careers in highest demand is a research technician. A research technician’s duties are to set up, operate, and maintain lab equipment. Another in-demand job is that of a senior researcher. A senior researcher’s responsibilities are to work in a lab and conduct experiments. Other science jobs with significant demand include that of clinical project manager, chief scientific officer, and biotechnology specialist. Chemists, engineers, physicists, geologists, and technical writers are all science jobs currently in high demand.

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

To thrive as a Scientist, you need a strong background in scientific methodology, data analysis, and subject-specific knowledge, typically supported by at least a bachelor's or master's degree in a science field. Familiarity with laboratory equipment, statistical software, and data management systems is often required, along with relevant certifications depending on specialization. Critical thinking, problem-solving, and effective communication are essential soft skills for designing experiments and sharing findings. These skills ensure accurate research, meaningful discoveries, and clear dissemination of scientific knowledge.

What are some common challenges faced by professionals working in scientific research roles?

Professionals in scientific research often encounter challenges such as securing funding for projects, managing tight deadlines for experiments, and adapting to rapidly evolving technologies. Collaboration across multidisciplinary teams is frequent, requiring clear communication and strong project management skills. Additionally, interpreting complex data and publishing results in reputable journals can be demanding but are essential for career progression in the field.

What is the difference between Science vs Laboratory Technician?

AspectScienceLaboratory Technician
Required CredentialsBachelor's degree in science or related fieldAssociate's degree or certification in laboratory technology
Work EnvironmentResearch labs, universities, industry research centersClinical, industrial, or research laboratories
Employer & Industry UsageAcademic, research institutions, private companiesHospitals, diagnostic labs, manufacturing plants
Common Search & ComparisonFocuses on research, analysis, and scientific discoveryFocuses on conducting tests, preparing samples, and supporting research

Science professionals typically engage in research, experimentation, and analysis within labs or academic settings, often requiring advanced degrees. Laboratory Technicians support these efforts by performing tests, preparing samples, and maintaining lab equipment, usually with technical certifications. Both roles are essential in scientific and industrial environments, but their responsibilities and educational requirements differ significantly.

What are some careers in science?

Careers in science include roles such as research scientist, laboratory technician, environmental scientist, biologist, chemist, physicist, and data analyst. These positions often require strong analytical skills, knowledge of scientific methods, and proficiency with specialized tools or laboratory equipment.
More about Science jobs

What cities near Camden, AR are hiring for Science jobs?

Cities near Camden, AR with the most Science job openings:

Science jobs near you
Infographic showing various Science job openings in Camden, AR as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $41,038 per year, or $19.7 per hour.

Data Scientist I

Murphy USA

El Dorado, AR • On-site

Full-time

Re-posted 7 days ago

Murphy USA rating

4.1

Company rating: 4.1 out of 10

Based on 257 frontline employees who took The Breakroom Quiz

45th of 47 rated convenience stores

Job description

GENERAL DESCRIPTION OF POSITION
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
This role will facilitate the end-to-end development, testing, and monitoring of analytical models across our brands. The Data Scientist will use machine learning and algorithms in an effort to improve data quality and generate insights from the data. The role will be very hands-on and focused in AI/ML model development. This scientist will attend daily standups and work in an Agile environment.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Design and develop algorithms and models to use against large datasets to create business insights
- Participate in analytical projects as a data science/technical lead
- May work independently in a solution environment
- Aid in the appropriate selection, utilization and interpretation of advanced analytical methodologies
- Execute tasks with high levels of efficiency and quality
- Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners including preparing reports, updates and/or presentations related to progress made on a project or solution
- Work with project teams and business partners to determine project goals and deliver productionized models and tools using Agile (including data processing, scripting, modeling, measurement, error handling, and documentation)
- Present recommendations in a confident manner in order to influence execution of recommendation
- Incorporate business knowledge into solution approachIdentify relevant data sources to mine given target outcomes
- Collect large structured and unstructured datasets and variables
- Analyze data for trends and patterns, and interpret data with a clear objective in mind
- Effectively develop trust and collaboration with internal customers and cross-functional teams
- Work with project teams and business partners to determine project goals
- Participate in the continuous improvement of analytics by developing replicable solutions (e.g., codified data products, project documentation, flowcharts) to ensure solutions are leveraged for future projects
- Utilizing statistical techniques to identify key insights that help solve business problems including mastery in predictive modeling, data mining and data analysis
- Perform any other related duties as required or assigned.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty mentioned satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
EDUCATION AND EXPERIENCE
Bachelor's degree in a quantitative field like Computer Science, Statistics, Engineering, Science, or Mathematics. 1 to 3 years of related experience in data mining and analytics, database structure and ETL, predictive modeling, machine learning, and statistical programming languages.

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