Senior Data Scientist

Stack

Responsibilities

• ▹Apply statistical analysis, regression, clustering, forecasting and classification to real business problems
• ▹Design end-to-end analytical solutions from data extraction in BigQuery and MariaDB to actionable insights
• ▹Develop and maintain data pipelines and tooling using Python and SQL
• ▹Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate work
• ▹Leverage LLMs, embeddings and generative AI to automate analytical workflows
• ▹Build lightweight applications and APIs (FastAPI) to deliver models and insights
• ▹Own data architecture decisions within your domain
• ▹Communicate results and trade-offs to technical and business audiences
• ▹Map and improve business processes through data-driven analysis

Requirements

• ▹7+ years of experience in data science, advanced analytics or a quantitative field
• ▹Expert-level SQL, deep fluency in BigQuery and MariaDB or similar platforms
• ▹Strong Python and/or JavaScript skills for production-quality code
• ▹Deep understanding of analytical methods: regression, clustering, time series, A/B testing, classification
• ▹Solid understanding of data architecture design

Nice to have

• ▹An active GitHub profile with personal projects is a plus

Soft skills

About the company

MariaDB is the backbone of applications used by billions of people worldwide; 75% of the Fortune 500 run MariaDB, reaching users through Linux distributions, enterprise deployments and public clouds.