Applied Machine Learning Scientist, Workiva

$79-134k

+ A discretionary bonus typically paid annually + RSU's

AWS

GCP

Python

Tensorflow

Scikit-Learn

PyTorch

Entry, 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

$79-134k

+ A discretionary bonus typically paid annually + RSU's

AWS

GCP

Python

Tensorflow

Scikit-Learn

PyTorch

Entry, 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

2 years of Data Science experience or; or an advanced degree without experience
Proficiency in the machine learning development cycle, toolsets, and applying ML solutions to real-world problems
Familiarity with Generative AI and relevant development patterns
Experience with data preprocessing, model deployment, and working with data pipelines
Familiarity with Generative AI or similar modern AI techniques is a plus
Knowledge of version control systems (e.g., GitHub) and experience in Agile or Sprint environments
Experience working in Agile/Sprint environments and debugging complex systems or applications
Knowledge of web protocols (HTTP), databases, performance tuning, and production-level testing
Strong communication and organizational skills for managing multiple projects and meeting deliverables effectively
Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements

What the job involves

The Applied Scientist at Workiva will contribute to well-defined machine learning tasks, including data processing, running predefined machine learning experiments, and writing production-level code to support ML features.
With periodic guidance from a technical leader, the Applied Scientist will independently contribute to team projects by developing and deploying ML models and pipelines to production
This role at Workiva involves thorough documentation of experiments to ensure clear records of processes and results, following best practices for ML development. The ideal candidate will bring a strong foundation in machine learning, coding, and collaboration within a team environment
Familiarity with machine learning concepts and tools (e.g., supervised learning, neural networks, model evaluation)
Experience with Python or similar programming languages used in ML development
Understanding of data structures, algorithms, and statistical methods commonly used in machine learning
Experience with cloud-based environments (AWS, GCP, or similar) is a plus
Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Strong communication skills, with the ability to explain technical concepts to non-technical team members
Eagerness to learn and apply new technologies and techniques in a fast-paced environment

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.

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