Applied Machine Learning Scientist

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.
What You'll Do

• 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

What You'll Need
Preferred Qualifications

• 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

Travel Requirements and Working Conditions

• Willingness to travel up to 10% for team and corporate meetings, fostering relationships and representing company interests
• Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements

How You'll Be Rewarded
• Salary range in the US: $79,000.00 - $134,000.00• 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.
Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. 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. We strongly encourage and welcome people from historically marginalized groups to apply.
Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email [email protected].
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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