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Data Science Jobs in Princeton, WV (NOW HIRING)

Digital Links Inc

AI & Data Engineer (W2)

Glen Lyn, VA · Remote

$117K - $140K/yr

Role: AI & Data Engineer Location: Remote US, light travel may be required Employment Type ... Education and Experience: · Bachelor's degree in computer science or similar field · 8+ years of ...

Arcadis

Environmental Scientist

Bluefield, VA · On-site

$4.9K/wk

With your expertise in geology or environmental science your work could involve a range of ... The ideal candidate will bring hands-on experience in remediation field sampling and data ...

Arcadis

Environmental Scientist

Bluefield, VA · On-site

$4.9K/wk

With your expertise in geology or environmental science your work could involve a range of ... The ideal candidate will bring hands-on experience in remediation field sampling and data ...

Pace

Scientist I

Beaver, WV · On-site

$15/hr

Join our mission to continuously move science forward; to innovate and advance all aspects of our ... accurate, quality data at every critical moment and milestone. That's why we need you -- your ...

Pacelabs

Scientist I

Beaver, WV · On-site

$15/hr

Join our mission to continuously move science forward; to innovate and advance all aspects of our ... accurate, quality data at every critical moment and milestone. That's why we need you -- your ...

Pace Analytical Services

Scientist I

Beaver, WV

$15/hr

Join our mission to continuously move science forward; to innovate and advance all aspects of our ... accurate, quality data at every critical moment and milestone. That's why we need you -- your ...

Pacelabs

Courier

Beaver, WV · On-site

$14/hr

Join our mission to continuously move science forward; to innovate and advance all aspects of our ... Your work helps ensure the integrity of each sample and contributes to the accuracy of data that ...

Pace

Courier

Beaver, WV · On-site

$14/hr

Join our mission to continuously move science forward; to innovate and advance all aspects of our ... Your work helps ensure the integrity of each sample and contributes to the accuracy of data that ...

Pace Analytical Services

Courier

Beaver, WV

$14/hr

Join our mission to continuously move science forward; to innovate and advance all aspects of our ... Your work helps ensure the integrity of each sample and contributes to the accuracy of data that ...

AllSTEM Connections

Laboratory Technician

Narrows, VA · On-site

$78K/yr

Celanese job title is Technician, Innovation & Science. Mechanical acumen and chemical handling ... Review of process controls and data for report out and further optimization. Effectively ...

Hitachi

Electrical Design Engineer

Bland, VA

Engineering & Science Job Schedule: Full time Remote: No The Opportunity Join Hitachi Energy in ... Document designs, calculations, and test data with accuracy and clarity. * Support production ...

Hitachi, Ltd.

Electrical Design Engineer

Bland, VA · On-site

Engineering & Science Job Schedule: Full time Remote: No The Opportunity Join Hitachi Energy in ... Document designs, calculations, and test data with accuracy and clarity. * Support production ...

Pace Analytical Services

Field Tech 1

Beaver, WV

$15/hr

Join our mission to continuously move science forward; to innovate and advance all aspects of our ... accurate quality data at every critical moment and milestone. That's why we need you -- your ...

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All JobsData Science JobsData Science Jobs in Princeton, WV

Data Science information

See Princeton, WV salary details

$36.3K

$118.7K

$190.1K

How much do data science jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data science in Princeton, WV is $118,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $131,600.00 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 are popular job titles related to Data Science jobs in Princeton, WV?

For Data Science jobs in Princeton, WV, the most frequently searched job titles are:

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Princeton, WV as of August 2026, with employment types broken down into 72% Full Time, 7% Part Time, 14% Temporary, and 7% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $118,733 per year, or $57.1 per hour.

Lead Data Engineer (BI/ETL) (W2)

Glen Lyn, VA • Remote

Snowrelic Inc
IT Services • 11 - 50 employees
Learn more about Snowrelic Incexternal

$104K - $138K/yr

Contractor

Re-posted 24 days ago

Job description

Role: Lead Data Engineer (BI/ETL) 
Location: Remote (USA)
 
Note: Need only USC/GC
 
This role is for an Engineering Leader who will guide a small, high-performing team of data engineers, analysts, and BI developers within a large enterprise data organization. The focus is on delivering impactful data and analytics projects, including building data pipelines, modernizing legacy systems, and delivering executive dashboards. The right candidate combines strong technical leadership with hands-on abilities, ensuring seamless project execution from strategy to delivery. 
Top 4 Skills: 
    1. Data Engineering Leadership – Proven experience managing and mentoring technical teams. 
    1. Modern Data Stack Expertise – Snowflake, SQL, Python, ETL tools (dbt, Airflow). 
    1. BI & Analytics Development – Experience with Power BI, Tableau, or similar tools. 
    1. Enterprise Data Strategy Alignment – Strong stakeholder communication and alignment with business goals. 
Responsibilities: 
    • Lead and mentor a small cross-functional team handling 3–4 simultaneous projects. 
    • Own project delivery from design through deployment. 
    • Engage in technical architecture and problem-solving discussions. 
    • Oversee projects involving: 
      • Data pipeline development and optimization. 
      • BI dashboard creation and maintenance. 
      • Modernization of legacy data/reporting systems. 
      • Supporting ad-hoc requests from leadership. 
    • Collaborate with leadership to align tech work with business strategy. 
    • Promote best practices in engineering and data operations. 
Qualifications: 
    • 7+ years in software/data engineering, including 2+ years in a lead role. 
    • Proficient in Snowflake, SQL, Python, and modern ETL tools (dbt, Airflow). 
    • Experience with BI tools like Power BI, Tableau, or Looker. 
    • Strong multitasking skills with the ability to balance strategic and tactical work. 
    • Excellent communicator with proven stakeholder collaboration experience. 
    • Ability to lead remote teams effectively and foster team growth. 
Preferred: 
    • Experience with cloud platforms (GCP, AWS, Azure). 
    • Background in enterprise digital/data transformations. 
    • Exposure to ML or data science pipelines is a plus.