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Data Science Jobs in Melbourne, AR (NOW HIRING)

CYNET SYSTEMS

Specimen Technician

Batesville, AR · On-site

$16 - $18/hr

Data Entry. * Specimen Processing. * Centrifugation. * Aliquoting. * Medical Terminology ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

CYNET SYSTEMS

Specimen Technician

Batesville, AR · On-site

$16.20 - $18/hr

Skills: Data Entry. Specimen Processing. Centrifugation. Aliquoting. Medical Terminology ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

US Navy

Oceanographer/Meteorologist

Salem, AR

... data. Ensure safety of navigation, access to denied waters, freedom to maneuver at will, and ... A desired degree is in physics, physics-based oceanography, meteorology, hydrography, earth science ...

Compass Group

SHIFT SUPERVISOR

Batesville, AR · On-site

$20/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

Compass Group

JANITOR (FULL TIME)

Batesville, AR · On-site

$17/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

Compass Group

JANITOR

Batesville, AR · On-site

$17/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

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Showing results 1-20

All JobsData Science JobsData Science Jobs in Melbourne, AR

Data Science information

See Melbourne, AR salary details

$31.8K

$104K

$166.6K

How much do data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science in Melbourne, AR is $104,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $115,300.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What cities near Melbourne, AR are hiring for Data Science jobs? Cities near Melbourne, AR with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Melbourne, AR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $104,048 per year, or $50 per hour.

Medical Technologist I

White River Health System Inc

Batesville, AR • On-site

Other

Re-posted 17 days ago

Job description

Medical Technologist - Safety Sensitive


JOB DUTIES:

  1. Performs and completes all tests according to departmental procedure manuals within established turnaround times; prioritizes tasks appropriately.
  2. Handles specimens according to departmental guidelines including unacceptable

specimens and specimens for transport to reference labs.

  1. Records and reports testing data according to department guidelines.
  2. Performs and records required quality assurance/control data, recognizes outliers and takes corrective action as necessary
  3. Performs and reports proficiency tests as assigned
  4. Observes and abides by all mandated safety policies in performing duties.
  5. Performs instrument troubleshooting, repairs and maintenance as required and/or assigned.
  6. Observes reagent and supply inventories, including expiration dates and reports re-order needs to the supervisor or person responsible for supply ordering.
  7. Performs phlebotomy duties as needed.
  8. Performs specimen triage duties as needed
  9. Demonstrates initiative and makes good decisions in situations not covered by policies.
  10. Accepts and delivers constructive criticism in a positive manner.
  11. Interacts with and assists with training of students in the laboratory.
  12. Performs additional duties as assigned

QUALIFICATIONS:

  1. Bachelor degree in Clinical Laboratory Science from an accredited institution required, or comparable degree that includes equivalent class completion of the required biology and chemistry disciplines.
  2. Documented successful completion of training acceptable for eligibility for certification.
  3. ASCP or equivalent certification preferred but not required.
  4. Professional communication and presentation skills
  5. Multi-tasking, problem-solving, and time management skills
  6. Proficient in computer skills
  7. Attention to detail and quality
  8. Ability to analyze and understand information
  9. Possess a strong work ethic