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Data Scientist Jobs in Iowa (NOW HIRING)

Sr Data Scientist

Des Moines, IA · On-site

$117K - $146K/yr

The sr data scientist is a member of the Data and Analytics Information Technology team, having a critical role in supporting the BHE (Berkshire Hathaway Energy) business transformations and asset ...

Imaging Data Scientist Location: Johnston, IA 50131 Locals only within 50-mile required onsite T/W/TH each week Duration: 12 months + extensions Max Pay Rate: $75/hr W2 (No Benefits) - DOE No C2C at ...

Data Science Associate

Des Moines, IA · On-site

$57K - $58K/yr

... science, engineering, or economics. * Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data ...

... science, engineering, or economics. * Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

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Showing results 1-20

Data Scientist information

See Iowa salary details

$35.2K

$115.3K

$184.6K

How much do data scientist jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data scientist in Iowa is $115,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $127,700.00 per year, depending on experience, location, and employer.

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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What Do Data Scientists Do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What careers can I do with data science?

Data scientists can pursue careers in fields such as machine learning engineering, data analysis, business intelligence, data engineering, and research roles. These positions often require skills in programming, statistical analysis, and tools like Python, R, or SQL, and may involve working in industries like finance, healthcare, technology, or marketing.

Is a data scientist job still in-demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

Is 30 too late for data science?

Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
What are the most commonly searched types of Data Scientist jobs in Iowa? The most popular types of Data Scientist jobs in Iowa are:
What are popular job titles related to Data Scientist jobs in Iowa? For Data Scientist jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Data Scientist jobs? Cities in Iowa with the most Data Scientist job openings:
What are popular job titles related to Data Scientist jobs in IA? For Data Scientist jobs in IA, the most frequently searched job titles are:
Infographic showing various Data Scientist job openings in Iowa as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $115,284 per year, or $55.4 per hour.
Data Scientist

Full-time

Posted 18 days ago


Job description

Data Scientist | Johnston, Iowa, United States Data Scientist - Corteva | Johnston, IA (C2C) About the Role Join Corteva's innovative Seed organization as a Data Scientist, supporting sales enablement and data-driven decision-making for agricultural manufacturing. Reporting initially to Greg, you'll partner with cross-functional teams to deliver applied analytics and predictive modeling solutions directly tied to impactful agricultural use cases. This junior to mid-level position is ideal for those with strong technical fundamentals who are eager to grow in a dynamic, business-focused environment. Responsibilities - Develop, implement, and validate predictive models to forecast demand and optimize business decisions. - Collaborate with business stakeholders to translate organizational needs into actionable data science projects. - Analyze complex datasets to uncover insights that drive sales strategies and operational improvements. - Present findings and recommendations clearly to both technical and non-technical audiences. - Continuously improve modeling approaches and ensure robust, reliable analytics solutions. - Support project verification and documentation for data-driven initiatives. Required Skills and Experience - Proficiency in Python for data analysis and machine learning. - Solid command of machine learning fundamentals, including effective problem framing. - Proven experience applying statistical and mathematical techniques to real-world business scenarios. - Strong communication abilities with the skill to clarify technical concepts. Preferred Skills - Exposure to Databricks platform. - Background in engineering with modeling, math, or statistics expertise. - Experience in applied agriculture or manufacturing analytics. Benefits - Career growth with opportunities to advance into a tech lead path. - Work on high-impact agricultural use cases in a collaborative, business-oriented environment. - Flexible work location with no residency requirement. - No face-to-face interview required for streamlined process. How to Apply Ready to make your mark in ag-tech? Submit your resume via our job portal. Candidates must be authorized to work in the U.S. without sponsorship. Background check and drug screen required.

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US