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Data Science Manager Jobs in Springfield, MO (NOW HIRING)

Senior AI Engineer

Springfield, MO · On-site

$95K - $130K/yr

... lifecycle management. * Implement automated testing including unit, integration, regression, evaluation, and contract testing for AI systems and services. * Partner with Data Scientists and ...

Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Data Science ... management, and grounding techniques for LLM systems Knowledge of semantic data modeling and data ...

Associate Scientist

Springfield, MO · On-site

$55K - $70K/yr

... analytical data from the sampling results and notify the project or program manager(s) of any ... Undergraduate degree in Science, Engineering, or related discipline. Plus: * Must be able to attain ...

... Science, Data Engineering, Data Science, Information Systems, or related field • 7+ years of ... context management, and grounding techniques for LLM systems • Knowledge of semantic data ...

... Science, Data Engineering, Data Science, Information Systems, or related field. • 7+ years of ... context management, and grounding techniques for LLM systems. • Knowledge of semantic data ...

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Data Science Manager information

See Springfield, MO salary details

$28.2K

$88.4K

$156.5K

How much do data science manager jobs pay per year?

As of Jun 19, 2026, the average yearly pay for 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 hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

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 the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

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 role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

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 Manager jobs in Springfield, MO? For Data Science Manager jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Springfield, MO look for? The top searched job categories for Data Science Manager jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Data Science Manager jobs? Cities near Springfield, MO with the most Data Science Manager job openings:
Customer Data Steward

Customer Data Steward

O'Reilly Auto Parts

Springfield, MO • On-site

Full-time

Posted 13 days ago


O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,836 frontline employees who took The Breakroom Quiz

536th of 715 rated retailers


Job description

Job Summary:
O'Reilly Auto Parts is a company with a proven track record of growth and stability, seeking a Customer Data Steward. The role involves managing data quality and compliance, enforcing governance policies, and collaborating with various teams to resolve data issues and enhance data management practices.
Responsibilities:
• Define, implement and enforce business rules, data quality and compliance requirements
• Monitor data usage and identify potential risks or compliance issues
• Analyze and resolve data exceptions and quality issues through SQL scripting
• Identify patterns to enhance or adjust automated rules and cleansing
• Assist in mastering customer data by defining and maintaining the golden record
• Understand MDM concepts and tools to ensure consistency and accuracy of critical business data
• Understand the data lifecycle, from creation to archiving and deletion
• Collaborate with data owners, working groups and data custodians - escalating any issues as necessary
• Provide training and guidance to data users on data governance policies and procedures
• Create and maintain data dictionaries, metadata, lineage to provide transparency and context to data
• Analyze and report on data quality insights and support BI reporting for senior leadership
• Assist with special department projects as needed
• Foster a cooperative and engaging work environment, focusing on teamwork and collaboration
• Conflict resolution and/or mediation skills
• Ability to assess and maintain data governance, quality and compliance
Qualifications:
Required:
• Bachelor’s degree in computer science, information systems, business administration, or data science or equal level of experience
• Experience with data integration, data quality tools, SQL scripting abilities
• Proficiency in data management systems and reporting tools
• Proactive, self-started comfortable diving into data
• Analytical skills and expertise in data quality tools and techniques
• Experience working on cross-functional teams
• Strong verbal and written communication skills
• Proficiency with Microsoft Word, Excel and Access
Preferred:
• 2-4 years' experience in data stewardship, business analysis, or data governance
• Understanding of data governance principles and best practices
• Experience in data management, analysis, or governance roles
• Knowledge of relevant data privacy regulations (e.g., GDPR, CCPA)
• Automotive knowledge a plus
Company:
O’Reilly Auto parts is a specialty retailer of automotive aftermarket parts, tools, supplies, equipment and accessories. Founded in 1957, the company is headquartered in Springfield, USA, with a team of 10001+ employees. The company is currently Late Stage.

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