Senior Data Scientist

Summary

Join Storyblok, a growing company, as a Senior Data Scientist to lead innovative projects transforming complex data into actionable insights. You will leverage advanced machine learning and statistical analysis, collaborating with cross-functional teams to identify growth opportunities and develop data-driven strategies. Responsibilities encompass the entire data science lifecycle, from data preprocessing to model deployment. Mentoring junior team members and Data Champions is also a key aspect of this role. This position offers a remote work opportunity with various benefits, including a monthly remote work stipend, home office equipment, paid time off, a personal development fund, and stock options.

Requirements

• Master’s degree in Data Science, Statistics, Computer Science or a related field (or equivalent work experience)
• 5+ years of experience in data science or a similar role with a strong portfolio of successful projects
• 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
• Exceptional communication and collaboration skills to work effectively with diverse teams and proactively engage with business stakeholders with minimal direction

Responsibilities

• Lead the development and implementation of advanced statistical and machine learning models to extract insights and drive business decisions
• Collaborate with cross-functional teams to understand business challenges and develop data-driven solutions
• Mentor and guide junior team members and Data Champions from other divisions, fostering a data-driven culture and enabling teams to leverage analytics effectively
• Design and conduct A/B testing and other experimental methodologies to evaluate the impact of new features and business strategies
• Communicate findings, insights, and recommendations to stakeholders through clear and compelling presentations, reports, dashboards, and visualizations
• Manage end-to-end data science projects, ensuring timely delivery and alignment with business goals
• 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
• An international team that loves to have fun at work and works hard together to accomplish shared goals