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Full Time Data Science Manager Jobs in Springfield, MO

Scismic

Microbiology Manager

Springfield, MO · On-site

Review, interpret, and approve analytical data; verify that results meet quality and accuracy ... Bachelor's degree in Microbiology, Biology, Food Science, or related field required. * Master's or ...

Scismic

Microbiology Manager

Springfield, MO · On-site

Review, interpret, and approve analytical data; verify that results meet quality and accuracy ... Bachelor's degree in Microbiology, Biology, Food Science, or related field required. * Master's or ...

Scismic

Microbiology Manager

Springfield, MO · On-site

Review, interpret, and approve analytical data; verify that results meet quality and accuracy ... Bachelor's degree in Microbiology, Biology, Food Science, or related field required. * Master's or ...

Select Medical

Food Service Manager

Ozark, MO · On-site

CoxHealth Rehab- Ozark Schedule: Full-time At our company, we support your career growth and ... Bachelors degree in Nutrition Sciences preferred or the equivalent through experience and/or ...

ABEC Inc

Project Manager

Springfield, MO · On-site

Job Type Full-time Description Project Manager - Engineering and Life Sciences Equipment Join a team delivering critical equipment and process systems used in the production of life saving medicines ...

CVS Health

Pharmacy Manager

Springfield, MO · On-site

$65 - $85/hr

As Pharmacy Manager, you have one of the most significant roles in our company Co delivering our ... Bachelor of Science in Pharmacy or Pharm. D. degree Anticipated Weekly Hours 40 Time Type Full time ...

TERRACON

Geotechnical Project Manager

Springfield, MO · On-site

... Science or Construction Management and a minimum of 5 years' related experience. Or, in lieu of a ... data wherever projects are located. From AI-supported solutions and predictive technologies to ...

Duckcreek

Principal Software Engineer- GenAI

Bolivar, MO · On-site

$128K - $172K/yr

Collaborate with data scientists and ML engineers to integrate LLMs and fine-tuned models into ... Proven experience building multi-agent systems with planning, tool calling, and state management

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All JobsFull Time Data Science Manager JobsFull Time Data Science Manager Jobs in Springfield, MO

Full Time Data Science Manager information

See Springfield, MO salary details

$28.2K

$88.4K

$156.5K

How much do full time data science manager jobs pay per year?

As of Jun 16, 2026, the average yearly pay for full time data science manager in Springfield, MO is $88,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $114,200.00 per year, depending on experience, location, and employer.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of efforts or features. Data scientists and managers often use this principle to focus on the most impactful data, models, or tasks to improve efficiency and outcomes.

What is the difference between Full Time Data Science Manager vs Data Scientist?

AspectFull Time Data Science ManagerData Scientist
CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often prefers leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech companies, finance, healthcareUsed across industries for data analysis, modeling, and insights

The Full Time Data Science Manager oversees data teams and strategic projects, requiring leadership skills, while Data Scientists focus on analyzing data and building models. Both roles require strong technical skills, but the manager also emphasizes team management and project coordination.

Is AI replacing data scientists?

AI is transforming the role of data science managers by automating routine tasks like data cleaning and model deployment, but it does not replace the need for skilled data scientists. Data science managers oversee teams that develop, interpret, and implement AI models, requiring expertise in statistical analysis, programming, and domain knowledge. The demand for human oversight remains essential to ensure ethical, accurate, and effective use of AI technologies.

Is 40 too late for data science?

For a Full Time Data Science Manager role, age is not a barrier; many professionals transition into data science or management roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data analysis. Age should not deter pursuing a data science career if you have the necessary expertise and a strong portfolio.
Full Time Data Science Manager jobs near you
Senior Data Engineer I

Senior Data Engineer I

Heartland Business Systems LLC

Springfield, MO • On-site

$90K - $122K/yr

Full-time

Posted 23 days ago

Heartland Business Systems rating

8.0

Company rating: 8.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

57th of 204 rated it services

Job description

Job Type
Full-time
Description
Position Summary:
This position would require a candidate to possess a strong technical background in developing and delivering BI solutions along with a strong understanding of SQL Server environments. Business intelligence (BI) is a set of technologies and practices for transforming business information into actionable reports and visualizations. The Senior Data Engineer transforms data into a useful format for analysis and is focused on the design and architecture.
A Senior Data Engineer is the data professional who prepares the data infrastructure to be leveraged by the HBS BI Data Developers. The Senior Data Engineer will design, build, integrate data from various resources and manage big data. The Senior Data Engineer ensures the operations of the data pipeline follow a consistent process of Ingestion, Processing, Storage and Access. The work involves tuning databases for fast analysis and creating table schemas.
The Senior Data Engineer is responsible for making data easily accessible, ensuring the process works smoothly and is optimized. The Senior Data Engineer is a critical firm member of the Data Team, The Senior Data Engineer will run Extract, Transform and Load (ETL) on top of datasets and create data warehouses that can be used for reporting and analysis. The Senior Data Engineer ensures the operations of the data pipeline follow a consistent process of Ingestion, Processing, Storage and Access.
Roles and Responsibilities/ Essential Functions:
  • Meet with clients to understand their current business processes and needs to provide consulting services and direction on how to build or grow their current data strategy.
  • Work with HBS Sales Solutions consultants to identify and grow opportunities within HBS client environments.
  • Support and administer the underlining infrastructure and layout of a client data environment.
  • Develop and design the process for the customer data collection process.
  • Develop policies and procedures for the collection and analysis of data.
  • Review customer sources to ensure integrity of the data collection process.
  • Collaborate with the BI Data Developers to ensure the requirements are being met to build the right solution needed.
  • Estimate development effort required to deliver data customer needs and requests.
  • Use business analysis skillset to identify development needs for the purpose of streamlining and improving the operations of the organization for efficiency and profitability.
  • Ability to work independently or as a team on project-based solutions for clients.
  • Work with team mates to continue to grow and mature data services and delivery options for HBS clients.
  • Based on experience, one may mentor other engineers in developing scalable, secure, high-performance BI and Data solutions.
  • Meet annual billable hour goal, as defined by HBS. This number may change over time as the business evolves.

Requirements
Competencies:
  • Accuracy - Ability to produce high quality work deliverables leveraging industry best practices.
  • Analytical Skills - Strong abilities required to effectively interpret customer business needs and translate them into application and operational requirements, resolving complex technical and business problems.
  • Communication - strong written, verbal, and non-verbal communication skills, especially conveying complex information in an understandable manner.
  • Leadership - Ability to motivate and guide others to ensure performance is in accordance with clear expectations and goals.
  • Learning - Ability to quickly learn new technologies to deliver solutions.
  • Presentation Skills - Ability to effectively conduct formal and informal presentations in both small and large group settings within all levels of a company.
  • Project Management - Ability to demonstrate an understanding of process engineering, planning, organizing, staffing, directing, and controlling work tasks.
  • Time Management - Ability to effectively utilize available time for managing multiple tasks/projects simultaneously.

Required Experience:
  • 7+ years of experience in technology related role
  • Data Model Design (Physical or Conceptual or both)
  • Experience with needs analysis, software evaluation and selection, customization, and implementation
  • Data Warehousing systems and architecture experience in 'real world', practical, successful implementations
  • Understand multi-dimensional/relational database structures and schemas.
  • Strong knowledge of system design, development, and deployment
  • Microsoft BI Suite Experience (Excel, Microsoft SQL Server Integration Services (SSIS), Azure Data Factory (ADF), etc.)
  • Programming and Processing Experience (T-SQL, ETL, etc.)
  • Azure Experience in Azure SQL Database or Azure SQL Manage Instance
  • Strong knowledge of SQL utilizing MS SQL Server
  • Expertise in Professional Services or similar client facing roles

Preferred Experience:
  • Experience in multiple industry (Education, Healthcare, Retail, Manufacturing) verticals
  • PowerShell knowledge and understanding
  • Understanding of report writing and visualization
  • GitHub Copilot experience
  • Microsoft BI Suite Experience (Power BI or Fabric)
  • Microsoft certified: Data Analyst Associate
  • Microsoft certified: DP-200 - Implementing an Azure Data Solution
  • Microsoft certified: DP-201 - Designing an Azure Data Solution
  • Microsoft certified: DP-300 - Administering Relational Databases on Microsoft Azure
  • Other SQL platform knowledge (Oracle, MySQL, PostgreSQL, etc.)

Required Skills, Education and/ or Certifications:
  • Bachelor's degree in business or I.T. related discipline accepted or equivalent experience

Equal Opportunity Employer - Including Disabled and Veterans
#HBS

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