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Data Science Jobs in Huntington, WV (NOW HIRING)

FocusKPI

Marketing Operations Analyst

Huntington, WV · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Service Wire

Data Visualization Analyst

Culloden, WV · On-site

$15K/yr

Bachelor's degree in Computer Science, Business Analytics, Data Visualization, or a related quantitative field * Experience: Strong analytical and reporting capabilities, including experience with ...

Service Wire

Data Visualization Analyst

Culloden, WV

$15K/yr

Bachelor's degree in Computer Science, Business Analytics, Data Visualization, or a related quantitative field * Experience: Strong analytical and reporting capabilities, including experience with ...

Service Wire

Data Visualization Analyst

Culloden, WV · On-site

$15K/yr

Bachelor's degree in Computer Science, Business Analytics, Data Visualization, or a related quantitative field * Experience: Strong analytical and reporting capabilities, including experience with ...

Bespoke Labs

Data Engineer

Huntington, WV · On-site

$97K - $116K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

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Data Science information

See Huntington, WV salary details

$36.4K

$119.3K

$190.9K

How much do data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data science in Huntington, WV is $119,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $132,100.00 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 are the most commonly searched types of Data Science jobs in Huntington, WV?

The most popular types of Data Science jobs in Huntington, WV are:

What cities near Huntington, WV are hiring for Data Science jobs?

Cities near Huntington, WV with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Huntington, WV as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $119,259 per year, or $57.3 per hour.

Business Intelligence Developer

King's Daughters

Ashland, KY • On-site

Full-time

Re-posted 15 days ago

King's Daughters Health System rating

6.3

Company rating: 6.3 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

670th of 887 rated healthcare providers

Job description

At UK King's Daughters, we're not just a healthcare facility - we're a family of dedicated professionals who share a passion for making a meaningful difference in the lives of our patients. We're more than just a place to work; we're a place to grow, thrive, and contribute to our community.
Job Description:
Job Summary
Responsible for developing analytical solutions that transform raw data into actionable insights to support operational decision-making. Designs dashboards, builds reports, and executes data queries using standardized BI tools and methods. Supports data validation, quality assurance, and user education for business users. Collaborates with stakeholders to understand reporting needs and deliver timely data products. Maintains service focus by ensuring data availability and issue resolution.
Essential Functions
• Designs and develops dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Crystal Reports.
• Builds and optimizes SQL queries, views, and stored procedures to support data analysis and reporting.
• Develops and maintains ETL workflows for collecting and transforming data from multiple sources.
• Responds to user requests for ad-hoc reports, slicer/dicer analysis, and metric definitions.
• Ensures data accuracy, completeness, and consistency in BI products and data models.
• Assists with monitoring performance and daily operations of BI systems and reporting environments.
• Documents BI solutions, query logic, and data source mappings for transparency and reuse.
• Collaborates with analysts and IT teams to resolve technical issues and improve data usability.
• Participates in user training and support to promote self-service analytics adoption.
• Performs other duties as assigned.
Education Requirement: Bachelor's degree in computer science, information systems, data science, or a related field.
Experience Requirement: 2+ years of experience in computer science, information systems, data science, or a relevant area
An equivalent combination of education and experience may be considered. All experience must be paid and in the same related field. Part-time and PRN experience will be prorated based on hours worked per week. Volunteer work and internships for academic credit are not counted.
Certifications & Licensures: Epic Certified within 90 days
Working Conditions
A. Lifting, pushing, and/or pulling objects up to 50lbs: 2. Occasional (< 10% of the time)
B. Lifting, pushing, and/or pulling objects over 50lbs: 1. Never
C. Standing or walking with objects up to 10lbs: 2. Occasional (< 10% of the time)
D. Standing or walking with objects up to 25lbs: 1. Never
E. Sitting at computer workstation for extended periods: 4. Regular (> 50% of the time)
F. Risk of back injury from moving, lifting or positioning patients, equipment, or materials: 1. Never
G. Repetitive motion: 3. Intermittent (10% - 50% of the time)
H. Working at heights above 4 feet: 1. Never
I. Working in confined spaces: 1. Never
J. Risk of injuries from use of equipment on the job: 1. Never
K. Job-related travel: 2. Occasional (< 10% of the time)
L. Loud noises: 1. Never
M. Temperature extremes: 1. Never
N. Hazardous chemicals and fumes including waste: 1. Never
O. Radiation: 1. Never
P. Burns: 1. Never
Q. Cuts/Punctures: 1. Never
R. Bloodborne/airborne pathogens: 1. Never
S. Recombinant DNA or viral vectors: 1. Never
T. Combative/violent people: 1. Never
U. Animal handling (including carcasses): 1. Never
V. Please specify other(s) and amount of exposure (i.e. Occasional, Intermittent or Regular): N/A
Physical Demands
This position requires regular sitting at a computer workstation for extended periods of time; performing tasks with intermittent repetitive motion (such as typing); and occasionally standing or walking with objects weighing up to 10 pounds, as well as lifting, pushing, and/or pulling objects weighing up to 50 pounds.
Department:
Information Svcs & Technology
Shift:
Days (United States of America)
Time Type:
Full time
Address:
2000 Ashland Drive
City, State:
Ashland, Kentucky

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