Senior Data Scientist

Stack

Responsibilities

• ▹Apply the right analytical methods (statistical analysis, regression, clustering, forecasting, classification) to 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 (LLMs, embeddings, generative AI) to augment and automate analytical workflows
• ▹Build lightweight applications and APIs (FastAPI) to put models and insights into stakeholders' hands
• ▹Own data architecture decisions within your domain: schema design, data modeling, pipeline reliability
• ▹Communicate results, trade-offs and recommendations to technical and business audiences
• ▹Map and improve business processes through data-driven analysis

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 platforms, query optimization, partitioning, data modeling
• ▹Strong Python and/or JavaScript skills, production-quality code, modern data and ML libraries
• ▹Deep understanding of analytical methods: regression, clustering, time series, A/B testing, classification
• ▹Solid understanding of data architecture: how warehouses, lakes and pipelines are designed and how to structure data for analytical and ML workloads
• ▹Proficiency with AI-powered development tools (Windsurf, Gemini, Claude, Cursor or similar) as a core part of the workflow
• ▹Excellent communication skills
• ▹Self-managing, able to set own priorities
• ▹A public GitHub profile showcasing projects, experiments or contributions

Nice to have

• ▹Experience with Next.js or modern frontend frameworks for 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)
• ▹Experience with JSON-based data formats, APIs and integration patterns
• ▹Understanding of Docker and Kubernetes

Soft skills

What we offer

• ▹Globally distributed team
• ▹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 and clean engineering
• ▹A large degree of flexibility and freedom

About the company

MariaDB is the backbone of many everyday applications and is run by 75% of the Fortune 500. The company offers one of the leading databases for modern application development.