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Data Science Associate Jobs in Iowa (NOW HIRING)

... 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 ...

Data Science Associate

Des Moines, IA

$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 ...

Associate Data Engineer

Urbandale, IA ยท On-site +1

$108K - $130K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Partner closely with analysts, data scientists, and business stakeholders to translate analytical ...

Associate Data Engineer

Urbandale, IA ยท On-site

$106K - $127K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Partner closely with analysts, data scientists, and business stakeholders to translate analytical ...

Associate Data Engineer

Urbandale, IA ยท On-site +1

$108K - $130K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Partner closely with analysts, data scientists, and business stakeholders to translate analytical ...

Data Engineer

West Des Moines, IA ยท On-site

$112K - $135K/yr

Bachelor's degree in computer science, data science, technology, information systems or engineering ... Holmes Murphy & Associates is an Equal Opportunity Employer.

Data Engineer

West Des Moines, IA ยท On-site

$112K - $135K/yr

Bachelor's degree in computer science, data science, technology, information systems or engineering ... Holmes Murphy & Associates is an Equal Opportunity Employer.

Work with actuarial and data science software and technologies including MG-ALFA, Python, R, and ... As an Actuarial Associate, you could be responsible for a variety of tasks and learning ...

Work with actuarial and data science software and technologies including MG-ALFA, Python, R, and ... As an Actuarial Associate, you could be responsible for a variety of tasks and learning ...

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Collect, interpret, and present experimental data clearly and accurately. * Maintain detailed ... Bachelor's or Master's degree in Food Science, Chemistry, Biochemistry, Chemical Engineering, or a ...

Management Analyst 3

Des Moines, IA ยท On-site

$63K - $98K/yr

The position provides training and guidance to staff and associates, ensures consistent application ... Three years of full-time work experience in project management; management analysis; data science ...

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Data Science Associate information

See Iowa salary details

$54K

$63.9K

$121.2K

How much do data science associate jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data science associate in Iowa is $63,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,400.00 and $55,900.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in Iowa? The most popular types of Data Science jobs in Iowa are:
What are popular job titles related to Data Science Associate jobs in Iowa? For Data Science Associate jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Iowa look for? The top searched job categories for Data Science Associate jobs in Iowa are:
Infographic showing various Data Science Associate job openings in Iowa as of June 2026, with employment types broken down into 1% As Needed, 66% Full Time, 28% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $63,906 per year, or $30.7 per hour.
Data Science Associate

Data Science Associate

Wellmark, Inc.

Des Moines, IA โ€ข On-site

$21/hr

Full-time

Posted 22 days ago


Job description

Company Description
Why Wellmark?
We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we've built our reputation on over 80 years' worth of trust. We are not motivated by profits. We are motivated by the well-being of our friends, family, and neighbors-our members. If you're passionate about joining an organization working hard to put its members first, to provide best-in-class service, and one that is committed to sustainability and innovation, consider applying today!
Learn more about our unique benefit offerings here.
Want to know more? You can learn about life at Wellmark here.
Job Description
Responsible for extracting, integrating analyzing, and interpreting data from internal and external data sources, to develop intelligence packaging that draws conclusions and supports recommendations that will help to achieve business goals. Collaborate with team and key business stakeholders to ensure critical business objectives are met by following the analytics lifecycle within assigned domains. Work cross-functionally with business stakeholders to identify risk and provide solutions that drive data-enabled decisions.
Qualifications
Required:
  • For consideration, you must meet one of the following educational/technical requirements:
  • Bachelor's degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer 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 presentation. Specific exposure with hands-on data analysis of databases and files using SQL dialects and statistical programming languages.
  • Strong formulas and data visualizations knowledge.
  • Exposure to business intelligence or analysis platforms.
  • Naturally curious and ability to drive business decisions and solutions.
  • Effective communication skills, both verbal and written, with the ability to present complex information.
  • Proactive, self-starter and can manage priorities through effective time management skills.

Preferred:
  • Master's degree.
  • Experience working with unstructured data sets.
  • Experience developing project roadmaps and timelines.

Additional Information
Job Responsibilities
a. Participate in or conduct discovery sessions and stakeholder interactions to gain business understanding and identify business problem. Understand the project objectives and gather requirements to build a preliminary plan.
b. Research and gather appropriate data from various sources. Source, extract, assemble, collate, and consolidate data needs for the business.
c. Profile and prepare data for analysis.
d. Build and execute models to analyze business outcomes, using tables, graphs, and charts, as well as algorithms, forecasts, and trends.
e. Interpret results, identify key findings to quantify business value.
f. Develop a narrative to summarize and convey findings to stakeholders. Make recommendations based on findings.
g. Create, update, and maintain a production schedule for reporting and ensure reports and presentations are completed on schedule.
h. Manage multiple projects simultaneously and support corporate process improvement initiatives, meeting aggressive timeframes.
i. Collaborate with peers to identify reporting objectives and develop reports and analyses that meet their need and drive Wellmark's value proposition for stakeholders.
j. Wrangle data from a wide variety of data sets and assemble into normalized and enriched data assets that enables new insights, solutions, and visualizations. Perform and document data profiling, quality assessment, source consolidation, aggregation, and other data manipulation efforts, to understand data formats, source systems, file sizes, etc.
k. Create, update, and maintain documentation and procedures for sourcing, analyzing, and preparing internal reporting and presentations. Ensure the highest quality and integrity of data sources.
l. Other duties as assigned.
An Equal Opportunity Employer
The policy of Wellmark Blue Cross Blue Shield is to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.
Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact us at careers@wellmark.com
Please inform us if you meet the definition of a "Covered DoD official".
At this time, Wellmark is not considering applicants for this position that require any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs please refer to the following resources:Nonimmigrant Workers and Green Card for Employment-Based Immigrants
Wellmark supports and expects the responsible use of AI for our workforce! We welcome the responsible use of these tools by job seekers as well and are interested in learning from you; you will have an opportunity in the application process to share which tools you used and how you applied them.