Build and own end-to-end model-driven data workflows: Proactively identify opportunities where quantitative insights can support business growth, and autonomously turn them into concrete data modeling and engineering tasks
Apply advanced statistical or ML models with rigor and clarity, explain them in simple terms, and translate results into actionable recommendations
Partner with stakeholders to refine their questions, guide them towards data-driven decisions, and capitalize on hidden opportunities through analytics
Communicate results with visualizations that highlight what truly matters and inspire action
Note: please note this is a 6 months initial contract with the possibility to extend to permanent after this period
Requirements
4+ years of experience in building data science projects and production-grade analytics/ML workflows
Outstanding modeling expertise – you know when and how to use the right statistical or ML method, able to explain models and results with ease at different levels of complexity
Experience analyzing business and usage data of software products is a must; SaaS, A/B testing and PLG are a plus
Experience in data or analytics engineering is a plus
Advanced skills in SQL and Python or R; dbt and Tableau are a plus
You have great interpersonal and communication skills in English