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

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

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

Senior Data Scientist

Key skills