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Data Science Jobs in Marion, IA (NOW HIRING)

Centro, Inc

Data Engineer

North Liberty, IA · On-site

$104K - $125K/yr

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field; or an equivalent combination of education and experience. * Strong experience ...

FocusKPI

Marketing Operations Analyst

Iowa City, IA · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

lumos

Enterprise Data Architect

Plano, TX · Hybrid

$130K - $150K/yr

Bachelor's degree in Information Systems, Computer Science, or equivalent experience/combined education Required Experience: * 8+ years of experience in data architecture, data engineering, or ...

Kuvare

Technical Product Analyst

Cedar Rapids, IA · On-site

Bachelor's degree in data science, computer science, information systems, computer engineering or an equivalent combination of education and experience. * Five or more (5+ years) of Analyst ...

Emergent Software

Data Engineer

Cedar Rapids, IA · On-site

$112K - $135K/yr

Our client is seeking a Data Engineer to design, develop, and maintain the data infrastructure that supports reporting, analytics, and business decision-making across the organization. This role will ...

Emergent Software

Data Engineer

Cedar Rapids, IA · On-site

$100K - $120K/yr

Our client is seeking a Data Engineer to design, develop, and maintain the data infrastructure that supports reporting, analytics, and business decision-making across the organization. This role will ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Marion, IA

Data Science information

See Marion, IA salary details

$37.4K

$122.4K

$195.9K

How much do data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science in Marion, IA is $122,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $135,600.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Marion, IA?

The most popular types of Data Science jobs in Marion, IA are:

What are popular job titles related to Data Science jobs in Marion, IA?

For Data Science jobs in Marion, IA, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Marion, IA look for?

The top searched job categories for Data Science jobs in Marion, IA are:

What cities near Marion, IA are hiring for Data Science jobs?

Cities near Marion, IA with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Marion, IA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,371 per year, or $58.8 per hour.

Data Architect

GreatAmerica Financial Services

Cedar Rapids, IA

$62.50 - $80.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

GreatAmerica Financial Services is a highly successful entrepreneurial company providing equipment financing to businesses across the United States. Our exemplary customer service, our principle-centered business philosophy and our team-based operating approach are key to our success and growth.

We are looking to add a Key Member to our Data Delivery Team!

The Data Architect is responsible for design and delivery of the organization's data infrastructure, including operational source systems, analytical platforms, data movement technology and architectural standards. This role balances technical excellence with business needs to deliver reliable, secure, and highly available solutions in a hybrid cloud environment. As a strategic technical leader, the Data Architect shapes enterprise-wide data architecture and guides long-term platform modernization initiatives. This role ensures that the data ecosystem supports scalability, governance, regulatory compliance, and advanced analytics capabilities, enabling the organization to use data as a strategic asset.

We're looking for a self-starting Data Architect who thrives both independently and, in a collaborative, team-based environment. This role is ideal for someone who isn't afraid to speak up, share perspectives, and actively drive meaningful discussions. The right candidate will be someone who can mentor others while remaining open to learning new things, who can see the long-term vision and help bring it to life. We value architects who view technical debt as an opportunity for improvement and innovation, and who make pragmatic, business first decisions.

As a Data Architect, you will:

  • Develop and maintain conceptual, logical, and physical data models.
  • Design scalable, end-to-end enterprise data architectures that support current and future business needs.
  • Build, prototype, and optimize real-time and batch data pipelines using modern data integration tools and cloud services.
  • Design and implement ETL/ELT processes to ensure seamless and reliable data movement across systems.
  • Integrate diverse data sources across the enterprise using standardized patterns and frameworks.
  • Establish, document, socialize, and enforce development, modeling, and architectural design standards.
  • Implement data quality metrics, monitoring capabilities, and issue resolution processes in partnership with Data Governance.
  • Define, manage and enforce data governance, quality, security and compliance frameworks in partnership with Data Governance.
  • Create and maintain clear documentation of architectural decisions, standards, and patterns.
  • Implement data protection strategies, including access controls and data privacy measures.
  • Ensure data architectures align with regulatory requirements and internal compliance standards.
  • Evaluate and recommend emerging technologies to improve data management and platform capabilities.
  • Architect and optimize cloud-native solutions leveraging Microsoft Azure services.
  • Lead modernization initiatives, including migrations from legacy platforms to cloud-based solutions.
  • Support scalability, performance tuning, and cost optimization of data platforms.
  • Build strong relationships with business and technical stakeholders to understand evolving needs and translate them into architectural solutions.
  • Collaborate with DevOps, Engineering, Analytics, Data Governance, and other cross-functional teams to operationalize data solutions.
  • Serve as a technical thought leader influencing multi-year data strategy and platform decisions.
  • Mentor team members and promote best practices across the data organization.
  • Partner with other architects to ensure enterprise alignment with data standards and architectural principles.

To be successful in the role, you will need:

  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • 7+ years of experience in data architecture, database design, or related roles.
  • In-depth knowledge of cloud-based data architectures, transactional and analytical systems, data modeling, data integration tools, and business intelligence concepts.
  • Experience with both SQL and NoSQL database technologies.
  • Proven experience designing and implementing enterprise-scale data warehouses and data lakes.
  • Demonstrated expertise with Microsoft Azure services, including Azure Data Factory, Synapse, Databricks, Azure Data Lake Storage
  • Experience with Salesforce data models and Salesforce Data Cloud preferred.
  • Experience leading modernization, migration, and cloud transformation initiatives.
  • Advanced SQL certifications and/or ITIL knowledge are a plus.

Skills and Abilities

  • Strategic thinking with the ability to drive enterprise-level architectural decisions.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Strong problem-solving skills, with the ability to balance technical and business trade-offs.
  • Excellent collaboration and influence skills across technical and business teams.
  • Ability to navigate differing viewpoints and achieve consensus.
  • Adaptability to changing technologies, business priorities, and data needs.
  • Strong learning mindset, particularly around cloud, AI/ML, and emerging technologies.
  • Effective facilitation and consensus-building capabilities.

Computer Skills

  • Microsoft SQL Server (SSIS, SSAS, Service Broker)
  • Azure (Azure SQL Database, Azure Synapse, Azure Data Factory, Azure Data Lake Storage, Azure Functions, Azure DevOps)
  • Databricks
  • Salesforce (Sales Cloud, Service Cloud, Data Cloud)
  • Python
  • Spark
  • dbt
  • Airflow
  • Informatica Cloud
  • Microsoft Office Suite

Sharing rewards is an integral part of our culture. We believe in the value of hard work and reward our employees beyond the paycheck. Our total rewards package is based on eligibility and includes:

Financial Benefits

  • Competitive Compensation
  • Monthly Bonuses for Eligible Employees
  • 401(k) and Company Match
  • Annual Profit Sharing
  • Paid Time Off

Health, Wellbeing, and Family Planning Benefits

  • Paid Vacation - starting at 80 hours annually for employees in their first year of service.
  • Paid Sick Days - Ten (10) per year with a conversion option for unused time.
  • Ten (10) Paid Holidays per year
  • Gym Reimbursement
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Short-Term and Long Term Disability
  • Company Paid Life Insurance
  • Flexible Spending Accounts (FSA)
  • Health Savings Accounts (HSA)
  • Employee Assistance Program
  • Parental Leave

Education and Career Planning Benefits

  • Tuition Assistance
  • Networking Opportunities
  • Leadership Development Opportunities

Perks

  • Paid Parking
  • Service Awards
  • Hybrid work arrangements
  • Business casual environment
  • A strong organizational culture focused on our greatest asset: you!

If your experience aligns closely, please apply. We value diverse backgrounds and adding new perspectives. We encourage you to apply if you can make a strong impact in this role at www.greatamerica.com/careers.

Please note, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.

Apply