Data Scientist, Experimentation


Job Overview

Key Qualifications

  • Expertise with experimentation and statistical hypothesis testing (e.g. sample size determination / power analysis, statistical tests, confidence intervals, etc).
  • Strong communication and presentation skills with the ability to present analyses to a diverse group of stakeholders including data scientists, creatives, and marketing leaders.
  • Outstanding digital analytics experience with the ability to derive insights from multiple quantitative and qualitative data sources.
  • Strong data querying skills (SQL) and experience with a scripting language (Python or R).
  • Excellent time management skills and ability to manage multiple A/B testing projects in various stages of development.
  • Team player who enjoys collaborating with others.
  • Beneficial but not required:
  • Experience with econometrics and quasi-experiments.
  • Experience with predictive analytics and ML algorithms such as regression, decision trees, clustering, and neural nets.
  • Description

    Core responsibilities cover three pillars:DIGITAL ANALYTICS: Lead a select number of strategic analyses to provide teams and leaders with actionable insights regarding opportunities to improve traffic, engagement, and conversion. Turn optimization hypotheses into A/B test proposals. Partner with Marcom Producers, Creatives, and Developers to determine the A/B test population, user experience, KPIs, and runtime requirements. EXPERIMENT ANALYSIS: Design experiments, analyze results, develop insights, and summarize recommendations. Work closely with the A/B Test Platform Engineering Team to ensure the analytics implementation suits our needs. RESEARCH & DEVELOPMENT: Partner with Data Scientists across Marcom, Retail, and Operations on projects to increase the sophistication of our experimentation program and deliver deeper insights about marketing performance.

    Education & Experience

    Bachelor’s degree with quantitative emphasis. Statistics, Data Science, Mathematics, Operations Research, Computer Science, Marketing Analytics, or related field. Master’s Degree desirable. Minimum 3-5 years of relevant industry experience.

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