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Data Science Jobs in Springfield, MO (NOW HIRING)

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. • ...

Bespoke Labs

Data Engineer

Springfield, MO · On-site

$104K - $125K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Brightli

Data Analyst II

Springfield, MO

Job Title: Data Analyst II Location: Springfield, MO Department: IT Employment Type: Full-time Job Summary: Are you passionate about transforming data into meaningful insights that drive ...

Maximus

Data Coordination Analyst

Springfield, MO · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

Brightli

Data Analyst II

Springfield, MO · On-site

Job Title: Data Analyst II Location: Springfield, MO Department: IT Employment Type: Full-time Job Summary: Are you passionate about transforming data into meaningful insights that drive ...

Husch Blackwell Llp

Software Developer

Springfield, MO · On-site +1

Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent combination of education and commensurate experience required. * 5+ years of relevant experience in ...

Dairiconcepts, L.P.

Principal Scientist

Springfield, MO · On-site

Utilize sensory science tools, available in the Innovation Center, to give data points to the customer demonstrating expectations are met/exceeded * Perform pilot plant testing to ensure a successful ...

Guida's Dairy

Principal Scientist

Springfield, MO · On-site

Utilize sensory science tools, available in the Innovation Center, to give data points to the customer demonstrating expectations are met/exceeded * Perform pilot plant testing to ensure a successful ...

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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 Jul 14, 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.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

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 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.

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 work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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.
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 July 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $111,646 per year, or $53.7 per hour.
Principal AI Engineer

Principal AI Engineer

Brightli

Springfield, MO

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Brightli rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

Job Description:

Job Title:Principal AI Engineer

Location:Springfield, Missouri

Department:Information Technology

Employment Type:Full-time

Job Summary:Join a compassionate, collaborative team making a measurable difference by delivering AI-driven analytics that empower business decisions and improve outcomes for stakeholders. This role offers the opportunity to lead high-impact AI initiatives, mentor cross-functional teams, shape enterprise AI strategy, work withcutting-edgeLLM and Snowflake technologies, and build production-ready systems that increase data accessibility and drive faster insights. Weseeka self-directed, systems-thinking engineer withstrong communicationskills and a passion for translating complex analytical needs into scalable technical solutions.

The Principal AI Engineer is the senior technical contributor within Analytics responsible for designing, developing, and implementing enterprise AI capabilities on the data platform with a focus on Snowflake integration. This hands-on role develops natural language-to-SQL solutions, semantic data models, and prototype applications that enable governed, conversational access to enterprise data, and guides their transition into scalable, production-ready solutions.

This position offers...
Employee Assistance Program- 24/7 counseling services, legal assistance, & financial consultation for you and your household at no cost
Mileage Reimbursement- Company paid for work functions requiring travel
Employee Discounts- Hotels, Theme Parks & Attractions, College Tuition
Workplace Culture- An environment cultivating employee wellbeing, valuing each individual's humanity, and actively promoting a healthy, joyful workforce
Additional Perks & Benefits- Scroll down to bottom of this post to learn more

Key Responsibilities:
Lead the design and implementation of LLM-enabled analytics capabilities leveraging Snowflake and Cortex AI features
Develop natural language-to-SQL solutions and conversational interfaces that allow business users to query governed enterprise data
Collaborate with Data Engineering to design and maintain semantic data models that support reliable AI-driven query generation
Build prototype AI applications to validate high-value business use cases and demonstrate new capabilities
Guide the transition of prototypes into scalable, production-ready solutions and establish architectural patterns and best practices for LLMs with structured data
Assist Data Engineering with prompt design, query-generation frameworks, evaluation approaches, and integration tasks
Identify high-impact opportunities for AI across analytics, reporting, and decision-support workflows
Evaluate emerging AI technologies, tools, and Snowflake platform capabilities for potential adoption
Support development of standards for responsible, secure AI usage aligned with enterprise data governance
Document system architecture, design decisions, and implementation approaches
Provide technical guidance and mentorship to analytics and data engineering team members
Function in accordance with operational guidelines and professional ethics; participate in staff development activities; perform other duties as assigned

Education, Experience, and/or Credential Qualifications:
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 applied AI roles
Demonstrated experience building or prototyping AI/LLM-driven solutions in enterprise environments
Experience with modern data warehouse platforms (Snowflake preferred)
Proficiency in SQL and Python
Experience with cloud platforms (AWS, Azure, or GCP) preferred
Healthcare or regulated industry experience preferred but not required

Additional Qualifications:
Strong understanding of modern data warehouse architecture and analytics data modeling practices
Experience designing natural language query interfaces, prompt engineering, context management, and grounding techniques for LLM systems
Knowledge of semantic data modeling and data governance principles
Ability to translate complex analytical questions into scalable technical solutions and communicate clearly to technical and non-technical stakeholders
Self-directed problem solver with leadership and mentoring experience
Successful completion of background check including criminal record, driving record, abuse/neglect, and fingerprint check required
Current driver's license, acceptable driving record, and current auto insurance required

Physical Requirements
Sedentary work: exerting up to 10 pounds of force occasionally and/or negligible forcefrequentlyto lift, carry, push, or pull objects; repetitive movements of hands, fingers, and arms for typing and/or writing during work shift
Primarily sitting with occasional walking or standing for brief periods

Keywords: Principal AI Engineer, LLM, Snowflake, Cortex AI, natural language to SQL, semantic data modeling, data engineering, Python, SQL, enterprise AI

Position Perks & Benefits:

Paid time off: full-time employees receive an attractive time off package to balance your work and personal life

Employee benefits package: full-time employees receive health, dental, vision, retirement, life, & more

Top-notch training: initial, ongoing, comprehensive, and supportive

Career mobility: advancement opportunities/promoting from within

Welcoming, warm, supportive: a work culture & environment that promotes your well-being, values you as human being, and encourages your health and happiness

Brightli is on a Mission:

A mission to improve client care, reduce the financial burden of community mental health centers by sharing resources, a mission to have a larger voice in advocacy to increase access to mental health and substance user care in our communities, and a mission to evolve the behavioral health industry to better meet the needs of our clients.

As a behavioral and community mental health provider, we prioritize fostering a culture of belonging and connection within our workforce. We encourage applications from individuals with varied backgrounds and experiences, as we believe that a rich tapestry of perspectives strengthens our mission. If you are passionate about empowering local communities and creating an environment where everyone feels valued and supported, we invite you to join our mission-driven organization dedicated to cultivating an authentic workplace.

We are an Equal Employment Opportunity Employer.

Brightli is a Smoke and Tobacco Free Workplace.

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