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Data Science Jobs in Raleigh, MS (NOW HIRING)

Utilize various engineering and scientific drawings, manuals, and other related documentation in the performance of their tasks. May include configuration/data administration. Checks for work ...

Utilize various engineering and scientific drawings, manuals, and other related documentation in the performance of their tasks. May include configuration/data administration. Checks for work ...

... scientific systems and/or equipment. Observes, analyzes, and reports test data; and when appropriate makes necessary repairs to equipment. * Work closely from approved procedures, schematics, and ...

... data accurately, supporting more senior technicians and engineers. - Utilize engineering and scientific drawings, manuals, and documentation to perform tasks, ensuring compliance with procedures ...

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Data Science information

See Raleigh, MS salary details

$30.7K

$100.6K

$161.1K

How much do data science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data science in Raleigh, MS is $100,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $111,500.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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 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.

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 work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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 cities near Raleigh, MS are hiring for Data Science jobs? Cities near Raleigh, MS with the most Data Science job openings:
Infographic showing various Data Science job openings in Raleigh, MS as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $100,640 per year, or $48.4 per hour.
Clinical Laboratory Scientist - New Grad - All Locations

Clinical Laboratory Scientist - New Grad - All Locations

Ochsner Health

Morton, MS • On-site

Full-time

Re-posted 1 hour ago


Ochsner Health rating

6.5

Company rating: 6.5 out of 10

Based on 439 frontline employees who took The Breakroom Quiz

600th of 882 rated healthcare providers


Job description

We've made a lot of progress since opening the doors in 1942, but one thing has never changed - our commitment to serve, heal, lead, educate, andinnovate.Webelieve that every award earned, every record broken and every patient helped is because of the dedicated employees who fill our hallways.

At Ochsner, whether you work with patients every day or support those who do, you are making a difference and that matters. Come make a difference at Ochsner Health and discover your future today!

This job receives and prepares specimens according to standard protocols and procedures; performs laboratory tests and calculations to provide data for use in diagnosis and treatment of disease; performs quality control procedures and evaluates test performance and results; calibrates, maintains and monitors equipment used in analytical determinations; performs phlebotomy procedures as appropriate; and maintains confidentiality of patient related information.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential duties.
This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at the company's discretion.

Education

Required - Bachelor's Degree in medical technology, medical laboratory science, clinical laboratory science, or chemical, physical or biological science. Copy of Transcript.


Work Experience

Required -None.


Certifications

Required - Current license in the state of practice (if applicable).

Required- ASCP, AMT or AAB certification as a Medical Laboratory Scientist or Medical Technologist. Any incumbents certified by ASCP on or after January 1, 2004, must successfully complete the requirements of the ASCP's Certification Maintenance Program.

Knowledge Skills and Abilities (KSAs)

  • Must have computer skills and dexterity required for data entry and retrieval of patient information. Must be proficient with Windows-style applications and keyboard.

  • Effective verbal and written communication skills and the ability to present information clearly and professionally to varying levels of individuals throughout the patient care process.

  • Good analytical and problem solving skills

  • Demonstrates good judgement in performing duties and conflict resolution

  • Good interpersonal skills


Job Duties

  • Performs, develops and interprets routine and/or specialized laboratory testing independently without error, within established time frames.

  • Performs, analyzes and records quality control and instrument maintenance/troubleshooting making judgments concerning results, and takes appropriate action necessary to maintain accuracy and precision. Escalates appropriately when results are out of control and ensures adequate documentation of corrective action.

  • Adheres to regulatory compliance guidelines and maintains an awareness of accreditation standards for laboratories by reviewing the most current checklist/standards. Follows safety guidelines, OIG compliance requirements and follows protocol for proficiency testing of samples.

  • Participates in performance improvement opportunities by assisting in the collection and analysis of data and supports business development and cost reduction initiatives by managing supply and reagent inventory.

  • Adapts behavior to the specific patient population, including but not limited to: respect for privacy, method of introduction to the patient, adapting explanation of services or procedures to be performed, requesting permissions and communication style.

  • Other related duties as required.

The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added, or this description amended at any time.


Remains knowledgeable on current federal, state and local laws, accreditation standards or regulatory agency requirements that apply to the assigned area of responsibility and ensures compliance with all such laws, regulations and standards.


This employer maintains and complies with its Compliance & Privacy Program and Standards of Conduct, including the immediate reporting of any known or suspected unethical or questionable behaviors or conduct; patient/employee safety, patient privacy, and/or other compliance-related concerns.
The employer is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

Physical and Environmental Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


Heavy Work - Exerting 50 to 100 pounds of force occasionally, and/or 25 to 50 pounds of force frequently, and/or 10 to 20 pounds of force constantly to move objects. (Constantly: activity or condition exists 2/3 or more of the time) to move objects. Physical demand requirements are in excess of those for Sedentary Work. Even though the weight lifted may be only a negligible amount, a job should be rated Light Work: (1) when it requires walking or standing to a significant degree; or (2) when it requires sitting most of the time but entails pushing and/or pulling of arm or leg controls; and/or (3) when the job requires working at a production rate pace entailing the constant pushing and/or pulling of materials even though the weight of those materials is negligible. NOTE: The constant stress and strain of maintaining a production rate pace, especially in an industrial setting, can be and is physically demanding of a worker even though the amount of force exerted is negligible.

Mechanical lifting devices (carts, dollies, etc.) or team lifts should be utilized.
Must be able to work a flexible work schedule (e.g. 24/7, weekend, holiday, on call availability).
Must be able to stoop, bend, reach and grab with arms and hands, manual dexterity.
Must be able to stand and sit for prolonged periods of time.
Must be able to travel throughout and between facilities.
Duties performed routinely require exposure to blood, body fluid and tissue.
The incumbent works in a patient care area; works in an area where patients enter; works directly with patients; and/or works with specimens that could contain diseases. There may be an occupational risk for exposure to all communicable diseases.

Because the incumbent works within a healthcare setting, there may be occupational risk for exposure to hazardous medications or hazardous waste within the environment through receipt, transport, storage, preparation, dispensing, administration, cleaning and/or disposal of contaminated waste. The risk level of exposure may increase depending on the essential job duties of the role.

Are you ready to make a difference? Apply Today!

Ochsner Health does not consider an individual an applicant until they have formally applied to the open position on this careers website.

Please refer to the job description to determine whether the position you are interested in is remote or on-site. Individuals who reside in and will work from the following areas are not eligible for remote work position: Colorado, California, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington, and Washington D.C.

Ochsner Health endeavors to make our site accessible to all users. If you would like to contact us regarding the accessibility of our website, or if you need an accommodation to complete the application process, please contact our HR Employee Solution Center at 504-842-4748 (select option 1) orcareers@ochsner.org. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

Ochsner is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any legally protected class, including protected veterans and individuals with disabilities.


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