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Data Science Jobs in Ardmore, OK (NOW HIRING)

Arbuckle Memorial Hospital

DATA PROCESSOR

Sulphur, OK · On-site

The Accounts Receivable Data Entry Processor is responsible for entering all A/R receipts daily. The A/R poster will reconcile receipts with money in the bank, post to the correct patient accounts ...

Arbuckle Memorial Hospital

DATA PROCESSOR

Sulphur, OK · On-site

The Accounts Receivable Data Entry Processor is responsible for entering all A/R receipts daily. The A/R poster will reconcile receipts with money in the bank, post to the correct patient accounts ...

City of Ardmore

CRIME SCENE ANALYST

Ardmore, OK · On-site

$23.95 - $25.79/hr

Testimony must follow the rules of evidence, but must also explain in laymen's term, to a jury, the significance of the evidence as it relates to scientific proof. Analyze data and prepare daily ...

City of Ardmore, OK

CRIME SCENE ANALYST

Ardmore, OK · On-site

$23.95 - $25.79/hr

Testimony must follow the rules of evidence, but must also explain in laymen's term, to a jury, the significance of the evidence as it relates to scientific proof. • Analyze data and prepare daily ...

Labcorp

Phlebotomist

Ardmore, OK

$14.25 - $18/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we ...

Labcorp

Phlebotomist

Ardmore, OK

$14.25 - $18/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we ...

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All JobsData Science JobsData Science Jobs in Ardmore, OK

Data Science information

See Ardmore, OK salary details

$31.7K

$103.8K

$166.2K

How much do data science jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data science in Ardmore, OK is $103,784.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $115,000.00 per year, depending on experience, location, and employer.

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 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.

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 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.

Is a data scientist in high demand?

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 jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What cities near Ardmore, OK are hiring for Data Science jobs?

Cities near Ardmore, OK with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Ardmore, OK as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $103,784 per year, or $49.9 per hour.

DATA PROCESSOR

Arbuckle Memorial Hospital

Sulphur, OK • On-site

Full-time

Re-posted yesterday

Job description

Experience in healthcare insurance payment posting preferred.
The Accounts Receivable Data Entry Processor is responsible for entering all A/R receipts daily. The A/R poster will reconcile receipts with money in the bank, post to the correct patient accounts and print daily receipts report. Must have ability to accurately interpret, review, and post insurance payments and remittance advice (ERAs/EOBs). Knowledge of health insurance payment processing, including Medicare, Medicaid, and commercial insurance and to work independently while maintaining accuracy in a fast-paced environment.
Arbuckle Memorial Hospital has determined this is a safety-sensitive position. The tasks or duties assigned to this job could affect the safety and health of the employee or others.
Essential Functions:
The A/R data entry processor responsibilities include but are not limited to the following:
  • Check bank daily deposit transactions; write up daily money sheet and total all monies
  • Gather credit card receipts, clinic receipts, print remittance advices, print remittance advices for private pay
  • Post all credit card receipts and electronic remits
  • Run credit cards for insurance payments, collect all credit card receipts
  • Enter payments from payroll deduct on employee accounts
  • Make up a depository ticket for electronic remits and credit cards
  • Scan receipts with remittance advice
  • File all receipts

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