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Rockerbox is a marketing analytics platform that empowers brands to make data-driven decisions through centralized data and diversified measurement methodologies. As a Senior Data Scientist, you will own the end-to-end development of testing methodologies and statistical experimentation frameworks that help marketers understand campaign effectiveness.
Key responsibilities include:
- Develop and own testing methodologies from planning through analysis, ensuring statistical robustness
- Adapt and optimize existing testing packages, translating R-based methodologies into Python
- Design statistical frameworks for campaign effectiveness measurement and causal inference
- Collaborate with engineering to integrate testing methodologies into the Rockerbox platform
- Conduct exploratory data analysis to refine test parameters and ensure accuracy
- Stay current with advances in causal inference and experimental design techniques
You bring 5+ years of data science experience with strong expertise in statistical testing, experimental design, and regression modeling. You are proficient in Python (NumPy, Pandas, Statsmodels) and ideally have experience adapting R packages. Familiarity with marketing analytics concepts such as campaign allocation and budget optimization is valuable. You excel at translating complex statistical methodologies into actionable insights and thrive working cross-functionally with engineering and product teams.
Rockerbox offers a fast-paced, results-driven environment where your work directly impacts client success. The iterative development process means you'll see contributions come to life quickly. You'll join a collaborative, supportive team committed to professional growth in both technical and business domains.
