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Senior Data Scientist, Experimentation
ERLPhase Power Technologies Ltd.. Set the standard for causal inference at Relay .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates deep expertise in causal inference, experimentation, and machine learning, with a strong background in statistics or quantitative research. Capable of applying advanced techniques to optimize marketplace decisions and foster a research-driven culture within the organization.
Highest-signal resume keywords
Causal InferenceExperimentationMachine LearningStatisticsQuantitative Research
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Causal InferenceExperimentation TechniquesMachine Learning TechniquesStatistical AnalysisData Analysis
Soft Skills
Entrepreneurial DriveCollaboration
Industry Keywords
Marketplace OptimizationOperational ResearchResearch Culture
About the role
Key responsibilities & impact- Set the standard for causal inference at Relay
- Measure how Relay's decisions affect each courier, both immediately and over time
- Shape experimentation across a live, two-sided marketplace
- Adapt advanced causal inference, statistics and machine learning techniques to Relay's problems and take them through to production
- Partner with Operational Research to embed insights and models into Relay's network-wide optimisation
- Help build Relay's research culture and voice in the tech community
Requirements
What you’ll need- Deep expertise in causal inference, experimentation and machine learning, whether from a PhD, publications, or years at the frontier in industry
- Background in statistics, an experimental science such as biology or psychology, or quantitative research
- Experience applying advanced techniques to real marketplaces or products and owning the outcome
- Strong technical fundamentals
- Entrepreneurial drive
Benefits
Comp & perks- Equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives