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

Bass Pro Shops

Manager, BI - Onsite

Springfield, MO · On-site

Bachelor's Degree Business, Computer Science, Data Analytics, or related field (Master's preferred ... Flexible Spending Account * Voluntary benefits * 401k Retirement Savings * Paid holidays * Paid ...

Bass Pro Shops

Sr Engineer, BI - Onsite

Springfield, MO · On-site

$46.50 - $60.25/hr

Collaborate with Data Engineering and Analytics teams to build and optimize robust ETL/ELT ... Bachelor's Degree in Computer Science, Mathematics, Statistics, Economics, or related field (or ...

OCH

IT Support Tech II

Springfield, MO · On-site

$18.25 - $25/hr

... data cabling while providing exceptional customer service and technical assistance to employees ... College or technical diploma in the field of computer science or 2-3 years equivalent work ...

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$34.1K

$111.6K

$178.7K

How much do flexible data science jobs pay per year?

As of Jul 30, 2026, the average yearly pay for flexible 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.

How does a flexible data science role typically structure collaboration and workload across multiple projects?

In a flexible data science role, professionals often work on several projects simultaneously, collaborating with cross-functional teams such as engineering, product management, and business stakeholders. This structure requires strong communication skills and the ability to prioritize tasks effectively. The work environment is usually dynamic, with shifting priorities and the need to adapt to different project requirements. Flexibility in both working hours and methodologies enables data scientists to manage deadlines while delivering actionable insights for diverse business needs.

What is flexible data science?

Flexible data science refers to the practice of applying data science methods, tools, and techniques in a way that adapts to different industries, project requirements, and work environments. Professionals in flexible data science may work remotely, part-time, on contract, or across multiple domains, using skills in statistics, programming, and data analysis to solve a variety of problems. This approach allows both employers and data scientists to adjust workflows and deliverables to fit changing business needs and schedules.

What are the key skills and qualifications needed to thrive as a Flexible Data Scientist, and why are they important?

To thrive as a Flexible Data Scientist, you need a strong background in statistics, programming (Python or R), and data analysis, often supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), data visualization tools (such as Tableau or Power BI), and experience with cloud platforms are widely required. Adaptability, problem-solving, and effective communication are crucial soft skills for translating complex data insights into actionable business strategies. These competencies ensure you can handle varied data challenges, deliver valuable insights, and collaborate effectively across dynamic project environments.
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 Flexible Data Science jobs in Springfield, MO? For Flexible Data Science jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Flexible Data Science jobs in Springfield, MO look for? The top searched job categories for Flexible Data Science jobs in Springfield, MO are:
Flexible Data Science jobs near you

Store Operations Data Analyst

O'Reilly Auto Parts

Springfield, MO • On-site

Full-time

Re-posted 27 days ago

O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,873 frontline employees who took The Breakroom Quiz

546th of 728 rated retailers

Job description

Job Summary:
O'Reilly Auto Parts is a company with a strong promote-from-within philosophy and a proven track record of growth and stability. They are seeking a Store Operations Data Analyst to work with field and corporate leadership to organize and present key business insights using data analysis and visualization tools, ultimately helping to make important operational decisions based on performance KPIs and other business needs.
Responsibilities:
• Make use of all available datasets to accomplish business objectives.
• Initiate and monitor systems, process, and recurring reports in accordance with production schedule (weekly, monthly quarterly etc.), to ensure accuracy and timely execution.
• Document requirements for the creation of new dashboards, visualizations and reports in BI tools.
• Use existing data, processes, and reports to fulfill the needs of field leadership, stores as well as any departments supported by the store operations data analysis team.
• Assist with design and creation of new dashboards and reports as assigned.
• Provide insight into existing operational reports, TN applications, dashboards, and identify opportunities for improvement.
• Communicate with responsible parties when abnormalities are identified.
• Troubleshooting the reporting database environment and reports.
• Learn and use all data sources and software used by Store Operations data analysis team, including BI tools, data warehouse, adhoc data feeds such as CSV or Excel files, Access or Postgres databases to provide insights to the store operations department and other supported departments.
• Training end users on new reports and dashboards.
Qualifications:
Required:
• 2 year or 4 year degree, preferably in Business, CIS, Computer Science, Economics or Mathematics
• Strong analytical skills
• Complex query statement construction experience (SQL/MySQL)
• Acute attention to detail prior experience working with relational databases, large datasets, and ETL processes
• Experience transforming data into usable information for non-technical consumers
• Strong interpersonal, communication, and collaborative skills
• Able to provide a high level of customer service inside and outside the team
• Proficient with Excel, Access, and Word
• Flexible and adaptable to new direction as business problems change
Preferred:
• DOMO or other Bi Tools experience
• Excellent verbal/writing skills
• Self-motivated Ability to work with limited supervision
• Collaboration and creativity, Commitment to participate in additional training
• Experience in Automotive Retail or Service Industries
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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