Staff Data Scientist, Workiva

• 6+ years of experience in data science or related fields, complemented by a Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related discipline

Desirable

• This role will report to the Director of Decision Science and is a part of the Data & Analytics organization within Business Technology (BT). BT powers Workiva’s growth, enhances the employee experience, and boosts organizational productivity with tech-driven transformation and innovative solutions
• The Data & Analytics team drives data-driven decisions and innovations across Workiva. As a Staff Data Scientist at Workiva, you will play a key role in driving data-driven innovation and strategic decision-making across the organization
• Working as a senior member of our Decision Science team, you’ll solve complex business challenges, develop impactful data products, and influence high-level business initiatives. This role offers the unique opportunity to blend deep technical expertise with leadership responsibilities, enabling you to contribute significantly to our company’s growth and success
• You will take ownership of the full data science lifecycle—from data acquisition to deploying and monitoring models in production—while shaping our overall data strategy and fostering a culture of data-driven decision-making
• Collaborate with Leadership: Partner with cross-functional leaders and product owners to understand business needs and translate them into data science initiatives that drive strategic decisions
• Design and Implement Solutions: Lead the design and implementation of data science solutions to address high-priority business challenges and deliver measurable impact
• End-to-End Data Science Ownership: Manage the complete data science lifecycle, including data acquisition, preprocessing, exploration, modeling, deployment, and ongoing performance monitoring of models in production
• Drive Actionable Insights: Translate complex data analyses into clear, actionable recommendations for business stakeholders, empowering data-driven decision-making across the organization
• Shape Data Strategy: Contribute to data strategy by collaborating with data engineering teams to define new data acquisition, instrumentation, metrics design, and platform technology choices
• Thought Leadership: Become a subject matter expert in both the technical and business domains, using data and insights to informing senior stakeholders on strategic goals related to product investment, revenue growth, and customer satisfaction/retention
• Foster Data Culture: Help cultivate a strong data-driven culture by actively contributing to the data and analytics community, mentoring junior team members, developing best practices, and improving team processes
• Innovate with AI & Machine Learning: Explore and apply cutting-edge techniques in AI, machine learning, and statistical analysis to stay ahead of industry trends and continuously innovate