Staff Data Scientist, Workiva
$129-207k
+ ✅ A discretionary bonus typically paid annually. ✅ Restricted Stock Units granted at time of hire
More information about location
Software for sustainability, GRC & financial reporting
Job no longer available
Software for sustainability, GRC & financial reporting
1001+ employees
Job no longer available
$129-207k
+ ✅ A discretionary bonus typically paid annually. ✅ Restricted Stock Units granted at time of hire
More information about location
1001+ employees
Company mission
To power transparent reporting for a better world.
Role
Who you are
- 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
- Proficiency in programming languages such as Python and R
- Experience with machine learning tools like Sagemaker, MLFlow, Metaflow, Keras, and/or PyTorch
- Advanced SQL skills and experience with large-scale data analysis
- Knowledge of machine learning techniques, including regression, cross-validation, boosting, decision trees, clustering, CNNs, RNNs, transformers, and GANs
- Expertise in statistical methods such as hypothesis testing, A/B testing, and causal inference
- Experience deploying machine learning models in production environments
- Familiarity with cloud platforms like AWS and Snowflake, big data tools like Spark, and data visualization tools such as Quicksight, Superset, or Python libraries (e.g., Seaborn, Matplotlib)
- Experience deploying and optimizing machine learning models to meet business objectives
- Familiarity with instrumentation and product event logging using tools like Splunk and New Relic
- Knowledge of SaaS products and business models, with a focus on using data science to enhance user engagement and retention
- Strong problem-solving abilities to address complex challenges
- Effective communication skills to present data findings to technical and non-technical audiences
- Ability to balance priorities and deliver value efficiently
- Analytical mindset with the ability to identify patterns and develop data-driven solutions
- Demonstrated ability to collaborate across teams and organizational structures
What the job involves
- 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
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
5% employee growth in 12 months
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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