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Data Science Jobs in Sheffield, AL (NOW HIRING)

Material Receiving Technician

Muscle Shoals, AL · On-site

$17.25 - $23/hr

Enter data into production systems to ensure accuracy of weights, shipments, etc. * As we pay based ... Preferred college level courses, 2 years of junior college or degree with emphasis on science or ...

Enter data into production systems to ensure accuracy of weights, shipments, etc. * As we pay based ... Preferred college level courses, 2 years of junior college or degree with emphasis on science or ...

Administer MES user access, including onboarding/offboarding users and correcting data ... Bachelor's degree in engineering, Information Technology, Computer Science, or a related field; or ...

Concrete Quality Control Technician

Muscle Shoals, AL · On-site

$16.50 - $21/hr

You will be responsible for conducting tests, analyzing data, and developing solutions to improve ... Associate or bachelor's degree in Materials Science, Concrete Management, Construction Management ...

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Data Science information

See Sheffield, AL salary details

$33.6K

$109.8K

$175.9K

How much do data science jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data science in Sheffield, AL is $109,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $121,700.00 per year, depending on experience, location, and employer.

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.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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 jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

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 jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
What cities near Sheffield, AL are hiring for Data Science jobs? Cities near Sheffield, AL with the most Data Science job openings:
Infographic showing various Data Science job openings in Sheffield, AL as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,850 per year, or $52.8 per hour.

Medical Lab Tech/ Medical Technologist, FT (Florence, SC) - 2nd shift

Medical University of South Carolina

Florence, AL

Full-time

Medical, Retirement

Posted 2 days ago


Job description

Job Description Summary

An exceptional team is on the lookout for a full-time MLS or MLT to become part of their dynamic group!

Entity

Medical University Hospital Authority (MUHA)

Worker Type

Employee

Worker Sub-Type

Regular

Cost Center

CC001233 FLO - Lab (FMC)

Pay Rate Type

Hourly

Pay Grade

Health-26

Scheduled Weekly Hours

40

Work Shift

Job Description

Clinical Laboratory Scientist CLS/Medical Technologist MT or Medical Laboratory Technician MLT performs a wide variety of duties in the laboratory.

1) Perform Moderate and High Complexity Testing on blood and all types of body fluid specimens.

2) Ability to work in various areas of the Laboratory (i.e. Chemistry, Hematology, Blood Bank, Microbiology, etc.)

3) Insure accurate and reliable test results by adhering to instrument maintenance, calibration and quality control procedures.

4) Ability to properly use Laboratory Information System (LIS)

5) Maintains records and statistical data according to regulatory requirements

6) Coordinates with phlebotomy and other hospital staff to ensure proper collection of patient samples

7) Troubleshoot problems with laboratory equipment, test methods, and sample collection

8) Trains new employees and students on laboratory methods, instruments, and policies

9) Ability to communicate patient results and/or problems to Medical or Nursing Staff

10) Good customer service and communication skills

11) Ability to work under pressure of emergency situation

12) Other duties assigned by Supervisor or Laboratory Director

Education: Associate's degree from an accredited college or university. Degree must be in Medical Laboratory Science or one of the biological or chemical sciences. Laboratory training through an accredited laboratory program preferred.

Experience: One to two years experience working in an accredited laboratory

preferred, although will consider new grads as well.

Licenses/Certificates: Certification as a laboratory professional by ASCP, AMT, NCA, or HEW needed.

Additional Job Description

MUSC Health Florence Medical Center is a leading regional acute care facility comprised of 396 patient beds and more than 1,500 employees and nearly 300 physicians representing all major specialties. We are dedicated to serving the health care needs of people living in northeastern South Carolina.

MUSC Health Florence Medical Center combines advanced technology, medical innovation and proven treatment methods to benefit of our patients. Our extensive range of services include heart and vascular care, cancer treatment, minimally invasive orthopedic and general surgery, diagnostics, women's health and rehabilitation services.

When unexpected medical situations arise, our Emergency Department (ED/ER) is ready to respond. The hospital's Chest Pain Center is the first in the region to have been accredited by the Society of Cardiovascular Patient Care (SCPC). MUSC Health Florence Medical Center's advanced Primary Stroke Center, recognized by The Joint Commission, shows the hospital's commitment to the highest standards in the country for stroke care.

About Florence, SC: "Florence, South Carolina, is a city that blends a fascinating history with a vibrant present. From its humble beginnings as a railroad town to its thriving arts scene and diverse economy, Florence has become a destination that offers something for everyone. Whether you're interested in history, culture, or outdoor activities, Florence is sure to captivate your heart and leave you wanting to explore more." (quote from hollymelody.com). For more information, please visit About Florence - Greater Florence Chamber of Commerce (flochamber.com)

Benefits
MUSC is a state facility, therefore our full-time positions come with the option of the State of South Carolina health and retirement benefits.

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees