Data Scientist, Storyblok

• Master’s degree in Data Science, Statistics, Computer Science or a related field (or equivalent work experience)
• 3+ years of experience as a data scientist or similar role
• Proficiency in programming languages such as Python or R, and experience with SQL for data manipulation
• Strong analytical and critical thinking skills with a keen attention to detail
• Experience with data visualization tools such as Tableau, Power BI, Sigma Computing, or similar to communicate insights effectively
• Solid understanding of machine learning algorithms and experience applying them to real-world problems
• Excellent communication and presentation skills
• Ability to work effectively in a fast-paced and collaborative environment

Desirable

• We are looking for a data-driven and analytical Data Scientist to help solve complex business challenges and enhance decision-making through machine learning and statistical analysis. In this role, you will work with large datasets to identify trends, develop predictive models, and propose strategies that drive business growth
• You will collaborate with cross-functional teams—including product, marketing, and business stakeholders—to uncover opportunities where data science can create a meaningful impact. Your responsibilities will include building and maintaining data pipelines, designing machine learning models, and developing insightful visualizations to effectively communicate findings to key decision-makers
• As a key contributor, you will have the opportunity to stay at the forefront of emerging data science trends and technologies, continuously improving your skill set while working on innovative solutions. If you are passionate about transforming data into actionable insights, enjoy tackling real-world business challenges, and thrive in a collaborative environment, we’d love to hear from you
• Partner with cross-functional teams to identify data-driven solutions for product, marketing, and business challenges
• Analyze large amounts of information to discover trends and patterns
• Design, develop, and implement machine learning models to improve product features and user experience
• Build and maintain data pipelines to ensure clean, consistent, and reliable data flows
• Communicate findings, insights, and recommendations to stakeholders through clear and compelling presentations, reports, and visualizations
• Stay current with industry trends, advancements in machine learning, and emerging technologies to enhance methodologies and tools used within the organization