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Data Science Jobs in Springfield, MO (NOW HIRING)

FocusKPI

Marketing Operations Analyst

Springfield, MO · 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

Bass Pro Shops

Senior AI Engineer

Springfield, MO · On-site

$95K - $130K/yr

Partner with Data Scientists and engineering teams to productionize AI and ML solutions into scalable enterprise systems. * Provide technical mentorship and code/design reviews for AI Engineers, Data ...

Capstone IT

Principal Data Engineer

Springfield, MO

... Science, Information Systems, Engineering, or related field Preferred Qualifications Experience with BI and visualization tools including Domo, Sigma, Tableau, or similar platforms Experience ...

SynergisticIT

Business Analyst

Springfield, MO · On-site

Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning: * Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical ...

Brightli

Principal AI Engineer

Springfield, MO

Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Data Science, Information Systems, or related field 7+ years of experience in data, analytics, engineering, or ...

Brightli

Principal AI Engineer

Springfield, MO · On-site

... Data Engineering, Data Science, Information Systems, or related field • 7+ years of experience in data, analytics, engineering, or applied AI roles • Demonstrated experience building or ...

Brightli

Principal AI Engineer

Springfield, MO · On-site

Education, Experience, and/or Credential Qualifications: • Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Data Science, Information Systems, or related field. • ...

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Showing results 1-20

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 22, 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.
Customer Data Steward

Customer Data Steward

O'Reilly Auto Parts

Springfield, MO • On-site

Full-time

Posted 17 days ago

O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,841 frontline employees who took The Breakroom Quiz

537th of 716 rated retailers

Job description

Job Summary:
O'Reilly Auto Parts is a company with a proven track record of growth and stability, seeking a Customer Data Steward. The role involves managing data quality and compliance, enforcing governance policies, and collaborating with various teams to resolve data issues and enhance data management practices.
Responsibilities:
• Define, implement and enforce business rules, data quality and compliance requirements
• Monitor data usage and identify potential risks or compliance issues
• Analyze and resolve data exceptions and quality issues through SQL scripting
• Identify patterns to enhance or adjust automated rules and cleansing
• Assist in mastering customer data by defining and maintaining the golden record
• Understand MDM concepts and tools to ensure consistency and accuracy of critical business data
• Understand the data lifecycle, from creation to archiving and deletion
• Collaborate with data owners, working groups and data custodians - escalating any issues as necessary
• Provide training and guidance to data users on data governance policies and procedures
• Create and maintain data dictionaries, metadata, lineage to provide transparency and context to data
• Analyze and report on data quality insights and support BI reporting for senior leadership
• Assist with special department projects as needed
• Foster a cooperative and engaging work environment, focusing on teamwork and collaboration
• Conflict resolution and/or mediation skills
• Ability to assess and maintain data governance, quality and compliance
Qualifications:
Required:
• Bachelor’s degree in computer science, information systems, business administration, or data science or equal level of experience
• Experience with data integration, data quality tools, SQL scripting abilities
• Proficiency in data management systems and reporting tools
• Proactive, self-started comfortable diving into data
• Analytical skills and expertise in data quality tools and techniques
• Experience working on cross-functional teams
• Strong verbal and written communication skills
• Proficiency with Microsoft Word, Excel and Access
Preferred:
• 2-4 years' experience in data stewardship, business analysis, or data governance
• Understanding of data governance principles and best practices
• Experience in data management, analysis, or governance roles
• Knowledge of relevant data privacy regulations (e.g., GDPR, CCPA)
• Automotive knowledge a plus
Company:
O’Reilly Auto parts is a specialty retailer of automotive aftermarket parts, tools, supplies, equipment and accessories. Founded in 1957, the company is headquartered in Springfield, USA, with a team of 10001+ employees. The company is currently Late Stage.

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