Senior Applied Machine Learning Scientist, Workiva

$141-226k

+ Discretionary bonus typically paid annually + Restricted Stock Units

AWS

GCP

Python

Tensorflow

Azure

Scikit-Learn

PyTorch

Junior and Mid level

Remote from US

More information about location

Software for sustainability, GRC & financial reporting

Job no longer available

Software for sustainability, GRC & financial reporting

1001+ employees

B2BEnterpriseComplianceAnalyticsData AnalysisCloud Computing

Job no longer available

$141-226k

+ Discretionary bonus typically paid annually + Restricted Stock Units

AWS

GCP

Python

Tensorflow

Azure

Scikit-Learn

PyTorch

Junior and Mid level

Remote from US

More information about location

1001+ employees

B2BEnterpriseComplianceAnalyticsData AnalysisCloud Computing

Company mission

To power transparent reporting for a better world.

Job

Company

Role

Who you are

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

Desirable

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

What the job involves

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

Application process

End Date: June 5, 2026

Our take

For large-scale businesses, collecting and sharing data can be a complex and challenging process. Workiva solves this problem with its AI-powered data platform.

Workiva is one of the biggest players in the market, serving around 75% of Fortune 500 companies, including Google and Delta. Workiva's controlled, secure and audit-ready platform has maintained a clear edge over much of its competition.

Workiva's quality product and its commitment to transparency has made it a firm favourite with companies around the world. If it can maintain this, it stands to consolidate its impressive growth even further in the coming years.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

5% employee growth in 12 months

Glassdoor (4.4)

Company

Funding (last 2 of 4 rounds)

Oct 2014

$0.7m

EARLY VC

Dec 2012

$30.7m

SERIES C

Total funding: $46.9m

Company HQ

Ames, IA

Leadership

Julie Iskow

(CEO)

Julie joined Workiva in 2019 sa COO/President and became CEO in 2023. Previously, she served as the CTO at Medidate Solutions and as the CIO at WageWorks.

David Haila

(CTO)

David has been at Workiva since 2009, joining the team as a Senior Software Engineer. Since then, he has held a number of roles and became CTO in 2023.

Jill Klindt

(CFO & EVP)

Jill has been at Workiva since 2008, joining as a Controller before holding a number of roles and becoming CFO & EVP in 2023. Previously, she held Financial roles at Financial Intelligence, Wells Fargo Financial, CitiMortgage, and Principal Financial Group.

Share this job

View 28 more jobs at Workiva