MariaDB plc - Senior Data Scientist
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Requirements
• 7+ years of professional experience in data science, advanced analytics, or a quantitative field • 7+ years • Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling • Expert-level SQL • BigQuery • MariaDB • Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries • Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why • Deep understanding of analytical methods • Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads • Solid understanding of data architecture • Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow • Proficiency with AI-powered development tools • Excellent communication skills - you present complex technical work in a way that drives decisions • Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding • Self-managing and self-sufficient • Relentlessly curious and ambitious - you're always learning, always building, always improving • Relentlessly curious and ambitious • A public GitHub profile showcasing your projects, experiments, or contributions • A public GitHub profile • Experience with Next.js or modern frontend frameworks for building data-facing applications • FastAPI experience for serving models or internal tooling • Background in business process analysis or operational process design • Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus • Experience with JSON-based data formats, APIs, and integration patterns • Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Responsibilities
• Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting • Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL • Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis • Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows • Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders • Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability • Communicate results, trade-offs, and recommendations clearly to both technical and business audiences • Map and improve business processes through data-driven analysis and process design
Benefits
• Globally distributed team environment • Remote or hybrid work options (location-dependent) • Challenging projects with company-wide impact • Competitive compensation, 25 days paid annual leave, plus holidays • A culture that values curiosity, clean engineering, and people who genuinely love what they do • Location – Romania (remote) • Location • Travel – Flexible for adhoc travel • Travel • Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. • You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
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