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Data Science Jobs in Springfield, MO (NOW HIRING)

Danaher

Digital Analyst Internships

Springfield, MO · On-site

$89K - $106K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Danaher

R&D Internships

Springfield, MO · On-site

Supporting immunoassay development teams with experimental setup, data collection, and documentation * Conducting laboratory studies to evaluate assay performance under guidance from scientific staff

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All JobsData Science JobsData Science Jobs in Springfield, MO

Data Science information

See Springfield, MO salary details

$34.1K

$111.6K

$178.7K

How much do data science jobs pay per year?

As of Jun 23, 2026, the average yearly pay for data science in Springfield, MO is $111,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $123,700.00 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.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Springfield, MO? The most popular types of Data Science jobs in Springfield, MO are:
What are popular job titles related to Data Science jobs in Springfield, MO? For Data Science jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Springfield, MO look for? The top searched job categories for Data Science jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Data Science jobs? Cities near Springfield, MO with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Springfield, MO as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $111,646 per year, or $53.7 per hour.

Intro to Computer Science and Information Technology - Fort Leonard Wood, Missouri (Cohort) - Col...

Grand Canyon University

Springfield, MO

Part-time

Posted 16 days ago

Grand Canyon University rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

193rd of 539 rated colleges and universities

Job description

Make a Difference at Grand Canyon University

Shape the bright futures of Grand Canyon University students as a cohort adjunct faculty member for the College of Engineering and Technology at Fort Leonard Wood.

As an adjunct faculty member, you'll provide program instruction incorporating innovative teaching methodologies, cutting-edge technologies and other industry trends reflecting advancements in your discipline. If you are highly motivated and passionate about teaching exceptional quality instruction in modern facilities with smaller class sizes, we'd like to hear from you.

Important Details:

  • This position will be located at Fort Leonard Wood(316 Missouri Ave, Fort Leonard Wood, MO 65473)
  • Candidates will need to be on-site one day per week (excluding Friday) from 5:00 PM - 9:00 PM Central Standard Time (CST)

Course:Intro to Computer Science and Information Technology

This course provides a foundation for programming and problem-solving using computer programming, as well as an introduction to the academic discipline of IT. Topics include variables, expressions, functions, control structures, and pervasive IT themes: IT history, organizational issues, and relationship of IT to other computing disciplines. The course prepares students for advanced concepts and techniques in programming and information technology, including object-oriented design, data structures, computer systems, and networks. The laboratory reinforces and expands learning of principles introduced in the lecture. Hands-on activities focus on writing code that implements concepts discussed in lecture and on gaining initial exposure to common operating systems, enterprise architectures, and tools commonly used by IT professionals.

What You Will Do:

  • Facilitate classroom lecture and discussions
  • Engage students in learning course objectives and topics
  • Assess student performance and mentor success in the classroom
  • Provide a positive example to students by supporting the University's Doctrinal Statement, Ethical Position Statement, and Mission of Grand Canyon University

What You Will Bring:

  • MS in Computer Science or Information Technology AND 3-5 years of industry experience or instructional experience in networking
  • Python experience
  • Minimum: Bachelor's in Computer Science OR Information Technology with 7+ years of industry experience as well as Python and Network+ certification

Before submitting your application, please attach the following to review:

  • Your unofficial transcript reflecting degree earned with 18 graduate credit hours in the areas listed above

#gcu #highered #faculty #computerscience #informationtechnology #tech #network+ #Waynesville #Missouri #INDLOPESUP

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