Senior Data Scientist

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🕒 April 1

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MariaDB

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2009

🏢 Enterprise

Enterprise • Open Source • Database

MariaDB is a company that develops and provides an open-source cloud-native relational database solution. Known for its MariaDB Server and MariaDB Enterprise offerings, it delivers high availability, auto-failover capabilities, and supports both transactional and analytical workloads. MariaDB is favored for its flexibility, cost-effectiveness compared to proprietary databases, and support for various data models, including relational and JSON. It is widely used in Linux distributions as a replacement for MySQL and is popular among developers for its open-source innovation and ease of use.

📋 Description

• Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale • 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

🎯 Requirements

• 7+ years of professional experience in data science, advanced analytics, or a quantitative field • Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling • 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 • Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads • Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow • 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 • Relentlessly curious and ambitious - you're always learning, always building, always improving • A public GitHub profile showcasing your projects, experiments, or contributions

🏖️ 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