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Data Scientist - Testing - Remote

Posted 2 weeks ago
Data Analysis
Full Time
USA

Overview

As a Data Scientist at Rockerbox, you will take full ownership of testing methodologies and statistical experimentation, ensuring that marketers have precise insights into campaign effectiveness.

In Short

  • 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.

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.

Benefits

  • Remote-first - work anywhere in the US
  • Health, vision, and dental insurance
  • Unlimited PTO
  • 10 Paid Holidays
  • Rockerbox Unplugged - we shut down the last week of the year
  • 12 weeks Parental Leave for all parents of a new child
  • Traditional and ROTH 401k options
  • $1000 annual training stipend
  • Rockertreat! Annual company get-together
Rockerbox logo

Rockerbox

Rockerbox is a data-driven marketing technology company that empowers marketing executives to make informed decisions by centralizing data and providing diverse measurement methodologies. The company collaborates with notable brands like Tula, Figs, and Burton, offering a unique suite of products designed to enhance strategic decision-making and drive growth. With a focus on building scalable and efficient data pipelines, Rockerbox is committed to innovation and continuous improvement in engineering processes, making it a leader in the marketing analytics space.

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