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Data Science Jobs in Calhoun, TN (NOW HIRING)

Data collected will support transportation recovery tasks, construction contract development, and ... Bachelor's degree in Forestry, Environmental Science, Civil Engineering Technology, Geospatial ...

This is a full-time, partially grant-funded position designed to support health science program ... analyze data, and generate reports efficiently. Preferred Qualifications Bachelor's Degree in ...

Process Engineer

Dayton, TN · On-site

$90K - $105K/yr

Education - Bachelor's Degree in Engineering or physical sciences (or equivalent combination of experience, education, and training). * Analytical Aptitude - Strong ability to analyze data into ...

Process Engineer

Dayton, TN · On-site

$90K - $105K/yr

Education - Bachelor's Degree in Engineering or physical sciences (or equivalent combination of experience, education, and training). * Analytical Aptitude - Strong ability to analyze data into ...

Process Engineer

Dayton, TN · On-site

$90K - $105K/yr

Education - Bachelor's Degree in Engineering or physical sciences (or equivalent combination of experience, education, and training). * Analytical Aptitude - Strong ability to analyze data into ...

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Data Science information

See Calhoun, TN salary details

$31.2K

$102.1K

$163.4K

How much do data science jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data science in Calhoun, TN is $102,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $113,100.00 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 are the most commonly searched types of Data Science jobs in Calhoun, TN? The most popular types of Data Science jobs in Calhoun, TN are:
What cities near Calhoun, TN are hiring for Data Science jobs? Cities near Calhoun, TN with the most Data Science job openings:
Med Lab Tech or Medical Technologist-Bledsoe, Full-time

Med Lab Tech or Medical Technologist-Bledsoe, Full-time

Erlanger Health System

Pikeville, TN

Full-time

Posted 20 days ago


Job description

Position Summary:
A licensed Medical Laboratory Technician performs and develops a wide variety of laboratory procedures requiring independent judgement and using both manual and automated methods. This employee performs chemical, microscopic, and bacteriological testing of body fluids to obtain data for diagnosis and treatment of disease under the direction of a team leader. He/she works closely with the team leader and team members in an atmosphere of continuous improvement. He/she performs other duties as assigned by a team leader and/or operations manager.
Education:
Required:
Associates degree in Applied Science, Medical Laboratory Technology or related scientific field and 12-months approved clinical training in a NACCLS approved program or equivalent.
De-escalation training, if applicable
Preferred:
Experience:
Required:
Clinical laboratory experience
Preferred:
Clinical Laboratory experience
Position Requirement(s): License/Certification/Registration
Required
MLT(ASCP) Certification or equivalent
Preferred:
State of Tennessee licensure Medical Laboratory Technician
Department Position Summary:
Core competencies required of an MLT include the performance of chemical, microscopic, and bacteriological testing of body fluids dependent upon the specific area of the laboratory. Other core competencies include the possession of an independent judgment, and the development of laboratory procedures. An MLT must be knowledgeable of the paperwork necessary to their job function. He/she must be able to interact with the employees and customers. Other core competencies are specific to each section of the laboratory.
The employee must be able to demonstrate the knowledge and skills necessary to provide care appropriate to the age of the patients served in his/her section. The individual must demonstrate knowledge of the principles of growth and development over the life span and possess the ability to assess data reflective of the patient's requirements relative to his or her age specific needs and to provide the care needed as described in the unit's policies and procedures.