data
Posted 5 days agoSenior Data Scientist
at MariaDB
RomaniaHybrid
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
- 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
- Map and improve business processes through data-driven analysis and process design Requirements &
Requirements
- With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role
- 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 work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB , building automation and tooling in Python , and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter.
- If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you. Key Responsibilities
- 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
- 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
- A public GitHub profile showcasing your projects, experiments, or contributions Nice to Have •
- 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
- If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
- MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Experience
- 7+ years of professional
Benefits
- Competitive compensation, 25 days paid annual leave, plus holidays
- We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
- Salaries for candidates outside the U.S. will vary based on local compensation structures. How to Apply
Additional details
- 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.
- You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.
- 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.
- Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
- Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
- 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