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Freelance Data Scientist Machine Learning Jobs in Iowa

Collaborate with software, data architects, and product managers to design complete software ... Bachelor's degree in Computer Science, Engineering or equivalent combination of education and ...

Collaborate with software, data architects, and product managers to design complete software ... Bachelor's degree in Computer Science, Engineering or equivalent combination of education and ...

Payer Healthcare Data Scientist, Manager

Des Moines, IA · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

Lead AI and Data Science Engineer II

Davenport, IA · On-site

$97K - $128K/yr

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

Lead AI and Data Science Engineer II

Des Moines, IA · On-site

$100K - $131K/yr

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

AI/ML Computational Science Manager

Des Moines, IA · On-site

$94K - $293K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning ... Computer Science * Minimum of 5 years of experience in machine learning, deep learning, or ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Showing results 21-40

Freelance Data Scientist Machine Learning information

Can I freelance as a data scientist?

Yes, data scientists can freelance by offering services such as data analysis, machine learning model development, and consulting to clients. Successful freelancing typically requires strong skills in programming, statistical analysis, and tools like Python or R, along with a portfolio to demonstrate expertise.

How much do freelance data scientists make?

Freelance data scientists typically earn between $50 and $150 per hour, depending on experience, project complexity, and client budget. Experienced professionals with specialized skills in machine learning and data analysis can command higher rates, especially for complex or long-term projects.

What is the difference between Freelance Data Scientist Machine Learning vs Freelance Data Analyst?

AspectFreelance Data Scientist Machine LearningFreelance Data Analyst
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, visualization, basic statistical analysis
Tools & TechnologiesTensorFlow, scikit-learn, Jupyter, cloud platformsExcel, Tableau, SQL
Work EnvironmentProject-based, consulting, remote or client sitesRemote, freelance consulting, client reports
Industry UsageTech, finance, healthcare, e-commerceMarketing, retail, finance, healthcare

Freelance Data Scientist Machine Learning professionals focus on developing predictive models and algorithms using advanced techniques, often requiring programming and statistical expertise. Freelance Data Analysts handle data interpretation, visualization, and reporting, typically with less technical complexity. Both roles are in high demand but differ in skill level, tools, and project scope.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Iowa?

The most popular types of Data Scientist Machine Learning jobs in Iowa are:

What are popular job titles related to Freelance Data Scientist Machine Learning jobs in Iowa?

For Freelance Data Scientist Machine Learning jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Freelance Data Scientist Machine Learning jobs in Iowa look for?

The top searched job categories for Freelance Data Scientist Machine Learning jobs in Iowa are:

Infographic showing various Freelance Data Scientist Machine Learning job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Staff Machine Learning Engineer

Workiva, Inc.

Ames, IA • On-site

Full-time

Retirement

Re-posted 22 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 244 rated software companies


Job description

Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning solutions across our platform. Your expertise will be instrumental in leading projects that demand innovative problem-solving, including the integration of cutting-edge Generative AI into our products.
In this role, you'll have the chance to develop robust tools, systems, and infrastructure to bolster the development, monitoring, and management of our machine learning solutions. Leveraging your engineering prowess, you'll tackle challenges related to availability and scaling, ensuring the long-term stability of our systems.
If you're passionate about pioneering the possibilities of Generative AI and want to be part of a team driving innovation at Workiva, we invite you to join us! Learn more about Workiva's Generative AI and be part of shaping the future of ML with us.
What You'll Do
Architect and Develop Solutions
  • Architect and deliver cutting-edge ML solutions using MLOps and best practices, fostering creativity in project execution
  • Design systems to enable rapid ML development, high availability, and clear observability
  • Develop tools, systems, and automation to support ML solutions, ensuring efficiency, scalability, and rapid development

Collaborate and Lead
  • Collaborate closely with product teams to develop APIs, maintain ML infrastructure, and integrate machine learning features into products
  • Provide technical leadership, mentor less experienced ML engineers and scientists, and define team best practices and processes
  • Lead in the ML space by introducing new technologies and techniques, and applying them to Workiva's strategic initiatives
  • Communicate complex technical issues to both technical and non-technical audiences effectively
  • Collaborate with software, data architects, and product managers to design complete software products that meet a broad range of customer needs and requirements

Ensure Reliability and Support
  • Deliver, update, and maintain machine learning infrastructure to meet evolving needs
  • Host ML models to product teams, monitor performance, and provide necessary support
  • Write automated tests (unit, integration, functional, etc.) with ML solutions in mind to ensure robustness and reliability
  • Debug and troubleshoot components across multiple service and application contexts, engaging with support teams to triage and resolve production issues
  • Participate in on-call rotations, providing 24x7 support for all of Workiva's SaaS hosted environments
  • Perform Code Reviews within your group's products, components, and solutions, involving external stakeholders (e.g., Security, Architecture)

What You'll Need
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering or equivalent combination of education and experience
  • Minimum of 4 years in ML engineering or related software engineering experience
  • Proficiency in ML development cycles and toolsets

Preferred Qualifications
  • Familiarity with Generative AI
  • Strong technical leadership skills in an Agile/Sprint working environment
  • Experience building model deployment and data pipelines and/or CI/CD pipelines and infrastructure
  • Proficiency in Python, GO, Java, or relevant languages, with experience in Github, Docker, Kubernetes, and cloud services
  • Proven experience working with product teams to integrate machine learning features into the product
  • Experience with commercial databases and HTTP/web protocols
  • Knowledge of systems performance tuning and load testing, and production-level testing best practices
  • Experience with Github or equivalent source control systems
  • Experience with Amazon Web Services (AWS) or other cloud service providers
  • Ability to prioritize projects effectively and optimize system performance

Working Conditions
  • Less than 10% travel
  • Reliable internet access for remote working opportunities

How You'll Be Rewarded
✅ Salary range in the US: $163,000.00 - $261,000.00
✅ A discretionary bonus typically paid annually
✅ Restricted Stock Units granted at time of hire
✅ 401(k) match and comprehensive employee benefits package
The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.
Why Join Workiva
Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.
At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you.
Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.
Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.
Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.
Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
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