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Data Science Degree 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

... 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 ...

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. • ...

Guida's Dairy

Principal Scientist

Springfield, MO · On-site

Utilize sensory science tools, available in the Innovation Center, to give data points to the ... Degree in food, dairy or biological science related discipline * Masters or PHD desirable * 8+ ...

Husch Blackwell Llp

Senior Software Engineer

Springfield, MO · On-site +1

$109K - $144K/yr

Collaborate with Information Engineers, designers, and data scientists to deliver engaging data ... Bachelor's degree in a relevant field (e.g., Computer Science, Software Engineering, Information ...

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Showing results 21-40

All JobsData Science Degree JobsData Science Degree Jobs in Springfield, MO

Data Science Degree information

See Springfield, MO salary details

$34.1K

$111.6K

$178.7K

How much do data science degree jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science degree 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 is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

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 mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What can I do with my data science degree?

A data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. Graduates can work in industries like technology, finance, healthcare, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What jobs can a data science degree get?

A data science degree qualifies individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and may involve working in various industries including technology, finance, healthcare, and marketing.

What are popular job titles related to Data Science Degree jobs in Springfield, MO?

For Data Science Degree jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Data Science Degree jobs in Springfield, MO look for?

The top searched job categories for Data Science Degree jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Data Science Degree jobs?

Cities near Springfield, MO with the most Data Science Degree job openings:

Data Science Degree jobs near you
Infographic showing various Data Science Degree job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $111,646 per year, or $53.7 per hour.

Principal AI Engineer

Brightli

Springfield, MO

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 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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