Data Science

Minimum Qualifications :

Please read the following job description thoroughly to ensure you are the right fit for this role before applying.

• Expertise in experimentation and statistical hypothesis testing (e.g., sample size determination / power analysis, statistical tests, confidence intervals, etc.).
• Strong communication and presentation skills, including presenting 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.

Highly Beneficial :

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 in Statistics, Data Science, Mathematics, Operations Research, Computer Science, Marketing Analytics, or related field.

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