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. 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 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 BigQuery 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 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 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 & Qualifications 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 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 Benefits & Culture 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 – Bulgaria (remote) Travel – Flexible for adhoc travel What's in it for you? 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. Salaries for candidates outside the U.S. will vary based on local compensation structures. How to Apply 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. At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

• Build a 2‑3 page portfolio case study that uses MariaDB’s open‑source server (or a Docker instance) to extract, clean, and analyze a real‑world dataset (e.g., public banking transactions). Showcase the full pipeline: SQL queries, Python/Pandas transformations, and an Excel dashboard with advanced functions (Power Query, Power Pivot, dynamic arrays) that tells a clear business story—include the code repo link in your resume.
• Tailor your CV and cover letter with the exact keywords from the posting: “SQL optimization”, “query profiling”, “statistical modeling”, “A/B testing”, “Excel analytics”, and “remote‑first collaboration”. Add a short bullet under each role quantifying impact (e.g., “Reduced query latency by 22% using index redesign; saved $150K/year”).
• Prepare for a technical interview round focused on database performance: rehearse explaining how you’d diagnose slow‑query issues in MariaDB, design an experiment to test an indexing strategy, and translate the results into an Excel‑based executive summary. Bring a live demo (Jupyter notebook + Excel report) ready to share on screen.
• Highlight remote‑work readiness: list the collaboration tools you master (GitHub, Slack, Confluence, Miro, Zoom) and give a concrete example of a cross‑functional project you delivered entirely remotely, emphasizing communication cadence, version‑controlled notebooks, and shared Excel workbooks.
• When negotiating salary, research the Bulgarian market for senior data scientists (≈ €55‑70k base) and factor MariaDB’s global compensation bands. Present a data‑driven salary rationale (e.g., “Based on Glassdoor and H1B data, senior data scientists at comparable DB firms earn €68k ± 10%; my 8‑year experience in query optimization justifies the top of that range”). Offer a flexible package—higher base + performance bonus tied to measurable KPI improvements you’ll deliver.