Data Scientist

Summary

Join Storyblok, a growing company, as a Data Scientist to leverage data and shape the future of the business. You will partner with cross-functional teams to solve complex business challenges using machine learning and statistical analysis. Responsibilities include building data pipelines, designing machine learning models, and communicating findings to stakeholders. The ideal candidate possesses a Master's degree in a related field and 3+ years of experience as a data scientist. Storyblok offers a remote work stipend, home office equipment, paid time off, a personal development fund, and a VSOP.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Experience working in a SaaS environment
• Proficiency with cloud platforms (AWS, GCP, or Azure)
• Hands-on experience with data transformation tools such as DBT

Benefits

• Monthly remote work stipend (home internet costs, electricity)
• Home office equipment package right at the start (laptop, keyboard, monitor…)
• Home office equipment upgrade (furniture, ear plugs …) or membership to a local co-working space after your onboarding
• Sick leave benefit, parental leave and 25 days of annual leave plus your local national holidays
• Personal development fund for courses, books, conferences, and material
• VSOP (Virtual Stock Option Plan)
• The annual international team-building trip, quarterly and monthly online get-togethers
• As a fully remote company, with work-life balance at its core, you’ll enjoy flexible schedules