Data Scientist - Testing

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Requirements:

• 5+ years of experience in data science.
• Strong knowledge of statistical testing, experimental design, and regression modeling.
• Proficiency in Python (NumPy, Pandas, Statsmodels, etc.); experience adapting R-based packages is a plus.
• Familiarity with marketing analytics concepts such as campaign allocation and budget optimization.
• Ability to translate complex statistical methodologies into actionable insights.
• Strong problem-solving skills and experience working cross-functionally with engineering and product teams.

Responsibilities:

• Own the end-to-end development of testing methodologies, ensuring statistical robustness.
• Adapt, optimize, and iterate on the current testing packages, translating R-based methodologies into Python.
• Design and implement statistical frameworks for campaign effectiveness measurement.
• Work closely with engineering to integrate testing methodologies into the Rockerbox platform.
• Conduct exploratory data analysis to refine test parameters and ensure accuracy.
• Stay up to date with the latest causal inference and experimental design techniques.