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Data Analyst Data Science Jobs in Springfield, MO

... 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 ...

Technical Scientist - SME

Springfield, MO · On-site +1

$150K - $235K/yr

... image science methods, and multi-platform remote sensing analytics. The work is fast-paced and ... Analyze optical signature data to extract target phenomenology, characterize signatures, and ...

Data Science * Software Development * Networking and related fields * Prepare and deliver engaging course materials aligned with departmental learning outcomes. * Maintain regular communication with ...

Data Analysis : Conduct in-depth analysis of sales trends, lead times, and stock levels to identify inefficiencies and recommend corrective actions. * Collaboration with Senior Stakeholders : Work ...

The successful candidate will use data-driven insights to support business objectives, minimize ... Data Analysis : Gather, analyze, and interpret inventory and sales data to optimize stock levels ...

Lead Engineer AI/ML - Onsite

Springfield, MO · On-site

$93K - $122K/yr

Partner with Data Scientists to define ground truth datasets, labeling requirements, evaluation metrics, confidence thresholds, and acceptable error tradeoffs. * Partner with MLOps / Cloud ML ...

Showing results 21-40

Data Analyst Data Science information

See Springfield, MO salary details

$30.9K

$75.2K

$123.7K

How much do data analyst data science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data analyst data science in Springfield, MO is $75,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,200.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

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

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

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

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

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

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

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

Infographic showing various Data Analyst Data Science job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $75,172 per year, or $36.1 per hour.

Principal AI Engineer

Brightli

Springfield, MO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 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 with cutting-edge LLM and Snowflake technologies, and build production-ready systems that increase data accessibility and drive faster insights. We seek a self-directed, systems-thinking engineer with strong communication skills 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 force frequently to 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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