Senior Data Scientist

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people.

With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

We’re hiring a Senior Data Scientist with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You’ll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.

This is a hands‑on, high‑autonomy role. You’ll work across the full data stack—writing sophisticated SQL in Big Query and MariaDB
, building automation and tooling in Python
, and leveraging AI‑powered tools like Windsurf
, Gemini
, and Claude to work faster and smarter. You’ll be expected to understand how data is structured end‑to‑end, from source systems through to the warehouse, and to know which analytical approach fits which business question.

You’ll also be a key communicator, translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what’s possible with our data. If you have a genuine passion for analytics, a Git Hub full of projects, and you’re the kind of person who’s always learning the next thing, we’d love to hear from you.

• 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 Big Query 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

• 7+ years of professional experience in data science, advanced analytics, or a quantitative field
• Expert‑level SQL
  —deep fluency in Big Query and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling
• 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 Git Hub profile showcasing your projects, experiments, or contributions

• 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…