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Data Science Jobs in Marion, IA (NOW HIRING)

Lead Data Engineer

Cedar Rapids, IA · On-site

$112K - $134K/yr

Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment: * Architect, build, and support the operation of Cloud and On ...

Int Actuary Modeler

Cedar Rapids, IA

$53.50 - $69.50/hr

Leverage advanced knowledge of actuarial, financial, statistical, data science and/or balance sheet modeling analytics to develop, test and validate models for various functions within the company.

Leverages advanced knowledge of actuarial, financial, statistical, data science and/or balance sheet modeling analytics to develop, test and validate models for various functions within the company.

Leverage advanced knowledge of actuarial, financial, statistical, data science and/or balance sheet modeling analytics to develop, test and validate models for various functions within the company.

Data Architect

Cedar Rapids, IA · On-site

$62.75 - $80.75/hr

Required : • 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 ...

Data Architect

Cedar Rapids, IA · On-site

$62.50 - $80.25/hr

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 ...

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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 17, 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.

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:

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.

Lead Data Engineer

Aegon

Cedar Rapids, IA • On-site

$112K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Job Family

IT Operations

About Us

At Transamerica, hard work, innovative thinking, and personal accountability are qualities we honor and reward. We understand the potential of leveraging the talents of a diverse workforce. We embrace an environment where employees enjoy a balance between their careers, families, communities, and personal interests.

Ultimately, we appreciate the uniqueness of a company where talented professionals work collaboratively in a positive environment - one focused on helping people look forward and plan for the best life possible while providing tools and solutions that make it easier to get there.

Who We Are

We believe everyone deserves to live their best life. More than a century ago, we were among the first financial services companies in America to serve everyday people from all walks of life.

Today, we're part of an international holding company, with millions of customers and thousands of employees worldwide. Our insurance, retirement, and investment solutions help people make the most of what's important to them.

We're empowered by a vast agent network covering North America, with diversity to match. Together with our nonprofit research institute and foundation, we tune in, step up, and are a force for good - for our customers and the communities where we live, work, and play. United in our purpose, we help people create the financial freedom to live life on their terms.

What We Do

Transamerica is organized into three distinct businesses. These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection Solutions and Savings & Investments, comprised of life insurance, annuities, employee benefits, retirement plans, and Transamerica Investment Solutions, and 3) Financial Assets, which includes legacy blocks of long term care, universal life, and variable and fixed annuities. These are supported by Transamerica Corporate, which includes Finance, People and Places, General Counsel, Risk, Internal Audit, Strategy and Development, and Corporate Affairs, which covers Communications, Brand, and Government and Policy Affairs.

Transamerica employs nearly 7,000 people. It's part of Aegon, an integrated, diversified, international financial services group serving approximately 23.9 million customers worldwide.* For more information, visit transamerica.com.

Job Description Summary

The Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all forms of data to enable data-driven decisions and outcomes across the enterprise.

Job Description

Responsibilities

  • Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment:
  • Architect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools.
  • Design robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data.
  • Lead the development of data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications.
  • Assist the selection and integration of data related tools, frameworks and applications required to expand platform capabilities.
  • Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.


Qualifications

  • Bachelor's degree in computer science, math, engineering, or relevant technical field
  • Five years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies
  • Four years of experience architecting, building, and administering big data and real-time streaming analytics architectures in on-premises and cloud environments
  • Three years of experience architecting, building and administering large-scale distributed applications
  • Three years of experience with Linux operations and development, including basic commands and shell scripting
  • Three years of experience executing DevOps methodologies and continuous integration/continuous delivery
  • Demonstrated skills in delivery of high-quality technical project solutions
  • Expertise in SQL for data profiling, analysis, and extraction
  • Familiarity with data science techniques and frameworks
  • Creative thinker with strong analytical skills
  • Results oriented with a strong customer focus
  • Ability to work in a team environment
  • Strong technical communication skills
  • Ability to prioritize work to meet tight deadlines
  • Ability to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables


Preferred Qualifications

  • Master's degree in a technical field (e.g. computer science, math, engineering)
  • Understanding of big data and real time streaming analytics processing architecture and ecosystems
  • Experience with data warehousing architecture and implementation, including hands on experience with source to target mappings and developing ETL code
  • Experience with advanced analytics and machine learning concepts and technology implementations
  • Experience with data analysis and using data visualization tools to describe data
  • Relevant technology or platform certification (AWS, Microsoft, etc.)
  • Software development experience in relevant programming languages (e.g. Java, Python, Scala, Node.js)
  • Experience with Snowflake


Working Conditions

  • Hybrid-Office Environment (Tuesdays, Wednesdays, Thursdays)
  • Occasional Travel <10%


This job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request.

Compensation

The Salary for this position generally ranges between$107,000 - $135,000 annually.Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors includingqualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.

Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company's discretion.

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 at this time.

This is a hybrid position requiring three days in office per week in one of our hub locations (Philadelphia, PA; Cedar Rapids, IA; Denver, CO). Relocation assistance will not be provided for this position.

What We Offer

For eligible employees, we offer a comprehensive benefits package designed to support both the personal and financial well-being of our employees.

Compensation Benefits

  • Competitive Pay

  • Bonus for Eligible Employees

Benefits Package

  • Pension Plan

  • 401k Match

  • Employee Stock Purchase Plan

  • Tuition Reimbursement

  • Disability Insurance

  • Medical Insurance

  • Dental Insurance

  • Vision Insurance

  • Employee Discounts

  • Career Training & Development Opportunities

Health and Work/Life Balance Benefits

  • Paid Time Off starting at 160 hours annually for employees in their first year of service.

  • Ten (10) paid holidays per year (typically mirroring the New York Stock Exchange (NYSE) holidays).

  • Be Well Company holistic wellness program, which includes Wellness Coaching and Reward Dollars

  • Parental Leave - fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service at the time of birth, placement of an adopted child, or placement of a foster care child.

  • Adoption Assistance

  • Employee Assistance Program

  • Back-Up Care Program

  • PTO for Volunteer Hours

  • Employee Matching Gifts Program

  • Employee Resource Groups

  • Inclusion and Diversity Programs

  • Employee Recognition Program

  • Referral Bonus Programs

Inclusion & Diversity

We believe our commitment to diversity and inclusion creates a work environment filled with exceptional individuals. We're thrilled to have been recognized for our efforts through the Human Rights Campaign Corporate Equality Index, Dave Thomas Adoption Friendly Advocate, and several Seramount lists, including the Inclusion Index, 100 Best Companies for Working Parents, Best Companies for Dads, and Top 75 Companies for Executive Women.

To foster a culture of inclusivity throughout our workforce, workplace, and marketplace, Transamerica offers a wide range of diversity and inclusion programs. This includes our company-sponsored, employee-driven Employee Resource Groups (ERGs), which are formed around a shared interest or a common characteristic of diversity. ERGs are open to all employees. They provide a supportive environment to help us better appreciate our similarities and differences and understand how they benefit us all.

Giving Back

We believe our responsibilities extend beyond our corporate walls. That's why we created the Aegon Transamerica Foundation in 1994. Through a mix of financial grants and the volunteer efforts of our employees, the foundation supports nonprofit organizations focused on the things that matter most to our people in the communities where we live and work.

Transamerica's Parent Company

Aegon acquired the Transamerica business in 1999. Since its start in 1844, Aegon has grown into an international company serving more than 23.9 million people across the globe.* It offers investment, protection, and retirement solutions, always with a clear purpose: Helping people live their best lives. As a leading global investor and employer, the company seeks to have a positive impact by addressing critical environmental and societal issues, with a focus on climate change and inclusion and diversity.

* As of December 31, 2023