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Data Science Jobs in Springfield, MO (NOW HIRING)

Brookfield

Senior Data Scientist

Springfield, MO · On-site

$90.80K - $145K/yr

Prioritizes, scopes and manages data science projects and the corresponding key performance indicators (KPIs) for success. * Helps to define and communicate governance principles. * Generates ...

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. • ...

Apex Systems

Principal AI Engineer

Springfield, MO · Remote

$70 - $100/hr

Bachelor's Degree or equivalent experience in Computer Science, Data Engineering, Data Science, Information Systems, or a related field. Experience: 7+ years of experience in data, analytics ...

Environmental Works Inc

Associate Scientist

Springfield, MO · On-site

$55K - $70K/yr

Ability to review the analytical data from the sampling results and notify the project or program ... Undergraduate degree in Science, Engineering, or related discipline. Plus: * Must be able to attain ...

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$34.1K

$111.6K

$178.7K

How much do data science jobs pay per year?

As of May 31, 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 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 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.

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 May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $111,646 per year, or $53.7 per hour.

Senior Data Scientist

Brookfield

Springfield, MO • On-site

$90.80K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Company

Farm Family

Farm Family specializes in farm and ranch protection with a wide range of products including flexible farm packages, business owner policies, commercial package, workers compensation, commercial auto and select personal auto coverage. Farm Family is a leader in serving the Northeast and Mid-Atlantic markets and is pursuing growth across the U.S. The Farm Family entities are wholly-owned subsidiaries of Clearbrook Group Holdings Inc.


Job Description

PURPOSE OF THE JOB:

The Senior Data Scientist should be able to work on multiple projects independently and/or collaborate with other team members. The Senior Data Scientist normally receives little instruction on day-to-day work and receives general instructions on new assignments. This position requires the individual to be very analytical, methodical and should have a passion to work with large amounts of data. This position requires the individual to make sure that the analysis and modelling they perform are free from any errors/incorrect inferences.


ESSENTIAL FUNCTIONS:

  • Prioritizes, scopes and manages data science projects and the corresponding key performance indicators (KPIs) for success.

  • Helps to define and communicate governance principles.

  • Generates hypotheses about the underlying mechanics of the business process and tests hypotheses using various quantitative methods.

  • Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), and principal components analysis (PCA).

  • Applies various ML (machine learning) and advanced analytics techniques to perform classification or prediction tasks, Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross-validation, A/B testing, bias and fairness

  • Understands new data sources and process pipelines, and catalogs/documents them, acquires access to various databases, and other source systems such as SQL or graph databases.

  • Trains other business and IT staff on basic data science principles and techniques.

  • Networks with internal and external partners.

  • Promotes collaboration with other data science teams within the organization (if there Is a decentralized data science practice).

QUALIFICATIONS:

  • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field.

  • Five years of experience as a Data Scientist in a reputed organization.

JOB FAMILY:

Data Scientist

Senior Data Scientist

Lead Data Scientist

Salary range is $90,800 - $145,000

PLEASE NOTE:

Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.

If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.

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Benefits and Compensation

We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

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