1

Phd In Statistics Jobs in Iowa (NOW HIRING)

A PhD degree in Pharmacology, Pharmaceutics, Physiology, or a related biomedical discipline is ... statistics by contacting the Department of Public Safety at 319/335-5022.

AI Data Engineer - Senior Consultant

Des Moines, IA · On-site

$103.40K - $140.50K/yr

Required : • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics ... PhD) and/or relevant certifications (cloud and AI/ML). • 4+ years of experience with Human ...

AI Data Engineer - Senior Consultant

Davenport, IA · Hybrid

$99.10K - $136.10K/yr

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ... Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML). * 4+ years of experience ...

AI Data Engineer - Senior Consultant

Des Moines, IA · Hybrid

$102K - $140K/yr

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ... Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML). * 4+ years of experience ...

next page

Showing results 1-20

Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

What are popular job titles related to Phd In Statistics jobs in Iowa? For Phd In Statistics jobs in Iowa, the most frequently searched job titles are:
Infographic showing various Phd In Statistics job openings in Iowa as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Senior Applied Machine Learning Scientist

Senior Applied Machine Learning Scientist

Workiva, Inc.

Ames, IA • On-site, Remote

$89.50K - $122.30K/yr

Other

Retirement

Posted 12 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 184 rated software companies


Job description

Workiva is seeking a Senior Applied Machine Learning Scientist to join our innovative team. In this role, you will deliver high-quality technology solutions, guide teams through complex challenges, and play a pivotal role in defining the medium-to-long-term technical strategy for impactful ML initiatives. If you excel in solving ambiguous problems, thrive in collaborative environments, and are passionate about applying machine learning to deliver business value, this opportunity is for you.

Join us to tackle cutting-edge challenges and make an impact through innovative machine learning and AI applications.

What You'll Do

  • Own and deliver high-quality AI & ML solutions that drive business impact and align with team objectives

  • Develop and maintain scalable infrastructure and libraries specific to Workiva science

  • Collaborate with stakeholders to define project goals and solve ambiguous, open-ended problems

  • Lead technical initiatives, defining blueprints for complex projects involving cross-functional teams

  • Provide guidance on tradeoffs between thorough technical solutions and applied business value, reducing the time between POC and ROI

  • Mentor and guide team members, fostering a collaborative and high-performing team environment

  • Establish and promote best practices in MLOps, cloud infrastructure, and operational processes as it relates to the model development lifecycle

  • Write, review, and maintain efficient, testable, and adaptable code

  • Proactively optimize existing systems, reducing technical debt and ensuring scalability

  • Contribute to strategic planning for ML-driven initiatives and influence the team's technical direction

  • Champion and evolve the culture of experimentation and measurement, ensuring sound decision making for AI and ML features in product

What You'll Need

Minimum Qualifications

  • Bachelor's degree or Advanced degree (Master's or PhD) in Computer Science, Data Science, or a related field, or equivalent experience

  • 2+ years of professional experience in applied machine learning or AI science

Preferred Qualifications

  • Experience designing, implementing, and deploying ML solutions

  • Expertise in Python, R, or similar programming languages

  • Experience with MLOps practices and cloud platforms (AWS, Azure, GCP)

  • Proficiency in experimentation and measurement

  • Experience leading ML modeling and solution projects, including tuning/training LLM/SLMs

  • Effective problem-solving skills and ability to address complex technical challenges

  • Excellent communication and collaboration abilities across teams

  • Familiarity with TensorFlow, PyTorch, or Scikit-learn

  • Familiarity with statistical libraries (SciPy, Statsmodels, etc.)

  • Knowledge of APIs and integration frameworks for scalable solutions

  • Proven ability to mentor junior team members and establish best practices

  • Experience optimizing systems for efficiency and scalability

  • Strong understanding of customer needs and translating them into actionable ML solutions

  • Excellent problem-solving skills and ability to navigate ambiguous technical challenges

  • Effective communication and collaboration skills with a track record of working across teams

Working Conditions & Travel Requirement

  • Minimal travel required (Up to 10%)

  • Reliable internet access for any period of time working remotely, not in a Workiva office

How You'll Be Rewarded

Salary range in the US: $141,000.00 - $226,000.00

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.

#LI-MJ2