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

Astrix Inc

QC Deviation Specialist III

Springfield, MO · On-site

$45 - $47/hr

Greene County, Missouri Job type : 4-month contract (possibility of extension) Position Summary The ... Review and analyze data to identify trends, recurring issues, and opportunities for process ...

Astrix Inc

QA Specialist III

Springfield, MO · On-site

$45 - $47/hr

Greene County, Missouri Job type : 5-month contract (possibility of extension) Position Summary The ... Review and analyze data to identify trends, recurring issues, and opportunities for process ...

Actalent

Certified Welding Inspector

Springfield, MO

$30 - $35/hr

Job Type & Location This is a Contract to Hire position based out of Springfield, MO. Pay and ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

Amphenol

Electroplating Process Engineer

Springfield, MO · On-site

$70K - $85K/yr

This role requires a foundation in chemical/electrical/mechanical engineering, materials science ... Skilled in data-driven process evaluation and training implementation. * Effective communicator ...

Actalent

Cmt Technician

Springfield, MO

$26 - $28/hr

Compile, prepare, and submit data and observations in written and digital reports for daily ... Job Type & Location This is a Contract to Hire position based out of Springfield, MO. Pay and ...

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

Data Science Contract information

See Springfield, MO salary details

$19.7K

$93.1K

$172.1K

How much do data science contract jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data science contract in Springfield, MO is $93,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,443.00 and $130,573.00 per year, depending on experience, location, and employer.

What is a Data Science Contract job?

A Data Science Contract job is a temporary or project-based role where a data scientist is hired for a specific period to work on data-related tasks such as analysis, machine learning, or model development. These roles can be short-term (a few months) or long-term but lack the benefits and job security of full-time employment. Contract data scientists often work with multiple clients, bringing expertise to solve business problems without a long-term commitment.

What kinds of projects and day-to-day tasks can I expect as a Data Science Contract professional?

As a Data Science Contract professional, you can expect to work on a variety of projects such as developing predictive models, analyzing large datasets, creating data visualizations, or advising organizations on best practices for data-driven decision making. Your day-to-day tasks may involve collaborating closely with clients or internal stakeholders to clarify objectives, cleaning and preparing data, developing algorithms, and presenting your findings in clear, actionable formats. Projects often vary in length and scope, offering exciting opportunities to tackle new business challenges across different industries. Flexibility and effective time management are essential, as balancing project deadlines and adapting quickly to new tools or domains are common aspects of contract-based work.

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

To thrive as a Data Science Contract professional, you need a strong foundation in statistical analysis, machine learning, data manipulation, and advanced proficiency in programming languages such as Python or R, typically supported by a relevant degree. Experience with data visualization tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Scientist are highly valued. Excellent communication, problem-solving abilities, and adaptability are crucial soft skills for collaborating with diverse teams and interpreting client needs. These skills ensure that contract-based data scientists can deliver actionable insights, adapt to new environments, and effectively address client-specific problems within limited project timelines.

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 Contract jobs in Springfield, MO? For Data Science Contract jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Data Science Contract jobs in Springfield, MO look for? The top searched job categories for Data Science Contract jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Data Science Contract jobs? Cities near Springfield, MO with the most Data Science Contract job openings:
Data Science Contract jobs near you
Infographic showing various Data Science Contract job openings in Springfield, MO as of July 2026, with employment types broken down into 61% Full Time, 21% Part Time, 1% Temporary, and 17% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $93,096 per year, or $44.8 per hour.

Principal Data Engineer

Capstone IT

Springfield, MO

Other

Medical, Dental, Vision, Retirement

Re-posted 19 hours ago

Job description

Job Description Principal Data Engineer *** Please note, this role is not open to third party candidates or agencies and does not provide sponsorship opportunities now or in the future. This opportunity is structured as a contract-to-hire engagement with the intent for the consultant to transition into a full-time role and relocate to the client site within the next 12 months. The client is utilizing a contract engagement model to support an accelerated onboarding timeline and faster hiring process.

Capstone IT is seeking a Principal Data Engineer to lead enterprise-scale data engineering initiatives supporting eCommerce, customer analytics, and marketing intelligence platforms. This role will be responsible for designing, optimizing, and delivering modern cloud-based data solutions leveraging Snowflake, Google Cloud Platform (GCP), BigQuery, and real-time streaming technologies. The ideal candidate combines strong technical expertise with business acumen and can partner effectively with marketing, analytics, product, and executive leadership teams to deliver scalable, data-driven solutions.

This individual will play a key role in modernizing enterprise analytics capabilities and supporting omnichannel customer intelligence initiatives. Key Responsibilities Lead enterprise data engineering initiatives across eCommerce, customer analytics, and omnichannel data environments Design, develop, and optimize scalable ELT/ETL pipelines supporting enterprise analytics and reporting Build and maintain high-performance Snowflake and BigQuery data architectures Develop and support real-time and batch data processing solutions using cloud-native technologies and streaming platforms Partner with Product Owners, Business Analysts, marketing teams, and executive leadership to translate business requirements into scalable technical solutions Deliver actionable analytics, dashboards, and executive-level reporting insights Ensure data quality through governance, cleansing, transformation, integration, and validation processes Drive architectural decisions related to enterprise data platforms, cloud modernization, and streaming ecosystems Support BI and analytics environments utilizing tools such as Domo, Sigma, Tableau, and related visualization technologies Manage offshore engineering resources and vendor relationships, including deliverables, budgeting, performance management, and capacity planning Support customer behavior analytics, digital interaction analysis, and marketing attribution initiatives Required Skills Snowflake Google Cloud Platform (GCP) BigQuery ELT/ETL Pipeline Development Kafka and/or NiFi Cloud Data Architecture SQL & Data Modeling Real-Time Data Streaming Business Intelligence & Reporting Tools Executive Stakeholder Communication Required Qualifications 15+ years of experience in data engineering, enterprise data platforms, and large-scale pipeline development Hands-on expertise with Snowflake, GCP, and BigQuery Strong experience designing and supporting modern cloud-native data architectures and ELT/ETL frameworks Experience with real-time streaming technologies such as Kafka, NiFi, or similar platforms Proven ability to deliver executive-level reporting and data-driven insights to business and marketing stakeholders Experience leading offshore teams and/or managing global vendor relationships Background supporting retail or eCommerce environments Bachelor's degree in Computer Science, Information Systems, Engineering, or related field Preferred Qualifications Experience with BI and visualization tools including Domo, Sigma, Tableau, or similar platforms Experience supporting customer data platforms (CDP) and omnichannel analytics initiatives Strong understanding of Google Analytics, customer analytics, and marketing attribution data models Experience with advanced cloud-native data services and enterprise streaming ecosystems Why Join Opportunity to lead enterprise-scale modernization and analytics initiatives High-visibility role partnering with executive leadership and marketing teams Modern cloud and data technology environment Long-term contract-to-hire opportunity with strong growth potential Featured Benefits Medical Insurance Dental Insurance Vision Insurance Company Matching 401(k) Paid Relocation Assistance Capstone Consulting is an EEO employer. Capstone website: http://www.capstonec.com/ Like us on Facebook: https://www.facebook.com/CapstoneITStaffingSolutions/ Follow us on Twitter: https://twitter.com/capstone__IT/ Connect with us on LinkedIn: https://linkedin.com/company/capstone-consulting/

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