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Data Science Jobs in Butte, MT (NOW HIRING)

Griffin Global Systems

Process Engineer

Butte, MT

Bachelor's degree in Chemical Engineering, Chemistry, Materials Science, or a closely related ... Advanced proficiency in data analysis, reduction, and visualization tools such as Excel, MATLAB ...

StaffRight Associates, LLC

Process Engineer

Butte, MT · On-site

$75K - $95K/yr

Synthesize complex experimental findings using sophisticated data reduction and visualization ... Bachelor's Degree (or Master's Degree ) in Chemical Engineering , Chemistry , Materials Science ...

Reli Group Inc

Power BI Intern

Helena, MT · On-site

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including ...

KLJ Engineering LLC

Aviation Engineer

Helena, MT

Collect, compile, and analyze data from the physical work site, surveys, blueprints, GIS data ... Work as an individual or as part of a cross-functional team of engineers, planners, and scientific ...

KLJ

Aviation Engineer

Helena, MT

Collect, compile, and analyze data from the physical work site, surveys, blueprints, GIS data ... Work as an individual or as part of a cross-functional team of engineers, planners, and scientific ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Butte, MT

Data Science information

See Butte, MT salary details

$36.4K

$119.1K

$190.7K

How much do data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science in Butte, MT is $119,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,000.00 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 Butte, MT?

For Data Science jobs in Butte, MT, the most frequently searched job titles are:

What cities near Butte, MT are hiring for Data Science jobs?

Cities near Butte, MT with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Butte, MT as of August 2026, with employment types broken down into 91% Full Time, and 9% Temporary. Highlights an 100% In-person job distribution, with an average salary of $119,133 per year, or $57.3 per hour.

Process Engineer

Griffin Global Systems

Butte, MT

Full-time

Re-posted 5 days ago

Job description

Required Qualifications

  • Bachelor's degree in Chemical Engineering, Chemistry, Materials Science, or a closely related discipline. A Master's degree is highly valued.
  • 3–7 years of relevant industry experience.
  • Hands-on laboratory experience with a strong emphasis on safety and experimental execution.
  • Demonstrated ability to plan and conduct experiments safely, with disciplined documentation and traceable data capture.
  • Familiarity with standard analytical techniques, including HPLC, GC, Spectroscopy, imaging, and related methods.
  • Strong practical troubleshooting skills and comfort working in laboratory and pilot-plant settings.
  • Advanced proficiency in data analysis, reduction, and visualization tools such as Excel, MATLAB, Python, or similar.
  • Solid, in-depth Chemistry background with practical application experience.
Griffin Global Systems logo

About Griffin Global Systems

Sourced by ZipRecruiter

Griffin Global Systems is an internationally recognized healthcare and technology consulting firm. We have more than 30 years of staffing experience helping CIOs, CTOs, hiring managers, & HR directors’ source the very best talent on an interim, semi-permanent, or permanent basis.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Jupiter, FL, US

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