Join a high-impact team of applied researchers and engineers where you'll dive deep into the full ML lifecyclefrom comprehensive data exploration to model evaluation and performance analysis. This role offers unique exposure to cutting edge machine learning applications while building your expertise in both analytical depth and ML systems.
What you'll be doing
Conduct comprehensive exploratory data analysis and deep-dive investigations across our full data ecosystem to uncover insights that drive ML and product strategy
Analyze ML model results, performance metrics, and conduct sophisticated model evaluations that inform algorithmic improvements
Design, implement, and analyze A/B tests while serving as a key contributor to our model evaluation and experimentation processes
Build analytical pipelines and automated systems that scale our ability to measure ML effectiveness and business impact
Create advanced dashboards and reporting systems that translate complex model performance into actionable business insights
Requirements: What we're looking for
We're looking for an analyst, creative and curious which is also a builder in soul
Advanced proficiency in SQL and Python with analytical libraries (Spark, Pandas, NumPy, SciPy) and pipeline development experience
Strong statistical analysis and experimental design capabilities including A/B testing, model evaluation metrics, and performance analysis
Proven expertise building dashboards and visualizations in Looker, Tableau, or similar BI tools for complex analytical insights
You might also have
Enthusiasm around using AI tools for development and analysis
Experience with B2C, adtech, gaming, or content recommendation analytics, particularly around model performance and user behavior Demonstrated ability to translate complex ML and business requirements into scalable analytical solutions and communicate findings effectively
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