Data Analyst, ML & Experimentation (f/m/d) at adjoe
Germany
Posted
on-site · full_time · Visa sponsorship
Responsibilities:
- Analyze and evaluate ML model performance at user and aggregate levels; identify failure modes and inefficiencies.
- Compare offline model assumptions with online outcomes and recommend fixes to close gaps.
- Define and improve metrics that capture model effectiveness and business impact.
- Design, run and analyze A/B tests and experiments; assess statistical significance and experiment quality.
- Build dashboards and automated reports to surface model health, experiment results and key business metrics.
- Act as a bridge between Data Science, Product and Business teams, translating business questions into analytical plans.
Requirements:
- Degree in a quantitative field and 5+ years relevant experience in analytics, product analytics or data science.
- Strong SQL skills and fluency in Python or R for data analysis and experimentation.
- Solid understanding of statistical inference, experiment design and A/B testing best practices.
- Experience working with ML model outputs and large-scale data (big data pipelines, feature stores or ML infra).
- Familiarity with TensorFlow/PyTorch and production ML concepts is a plus; visualization/dashboarding experience (Tableau, QuickSight, Power BI, R Shiny, Streamlit) preferred.
- Clear communicator able to present technical findings to non-technical stakeholders.