Senior Data Scientist; Marketing

Data Scientist is responsible for delivering insights about Client's marketing efforts. We lead and support analyse, Channel Digital, email marketing, social media, and paid media.

We're looking for a top-notch Senior Data Scientist to lead the design, execution, and statistical methodology of our experimentation program. You will join our cross-functional Optimization team comprised of Data Scientists, Creatives, Developers, and Producers. You will own end‑to‑end test analysis, drive the statistical methodology underpinning Stats Engine, and serve as the technical authority on experimentation best practices across the organization.

If you're passionate about the intersection of marketing, data science, and experimentation — and are energized by the opportunity to shape how a world‑class brand makes data‑driven decisions at scale — we encourage you to apply.

• Deep expertise in experimentation design and statistical hypothesis testing — including sample size determination, power analysis, confidence intervals, p‑values, and multiple testing corrections.
• Strong command of advanced statistical methods including sequential testing (SPRT, alpha‑spending functions), variance reduction techniques (CUPED), and Bayesian inference.
• Experience with dynamic optimization methods such as Multi‑Armed Bandits (Thompson Sampling, Upper Confidence Bound) and their application in marketing or digital product contexts.
• Proficiency in causal inference methods including synthetic control, Difference‑in‑Differences, and quasi‑experimental design — particularly for geo‑targeted or always‑on marketing contexts where traditional A/B testing is not feasible.
• Strong data querying skills (SQL) and fluency in a scripting language (Python or R) for statistical analysis, data wrangling, and results automation.
• Excellent communication and presentation skills with the ability to translate complex statistical findings into clear, actionable insights for diverse audiences including creatives, producers, and marketing leaders.
• Proven ability to manage multiple experimentation projects across different stages of development simultaneously, with strong attention to detail and quality standards.
• Team player who thrives in a cross‑functional environment and takes pride in elevating the statistical rigor of the teams around them.

• Experience with multi‑geo test execution and localization considerations across global markets.
• Familiarity with experimentation platforms such as Adobe Target or Optimizely, and experience partnering with platform engineering teams on analytics implementation.
• Experience applying ML algorithms — regression, decision trees, clustering — to marketing measurement or audience segmentation problems.
• Background in marketing analytics, digital attribution, or media measurement.

Core responsibilities cover three pillars:

Own the end‑to‑end statistical design and analysis of A/B tests across email (DM) and Channel Digital platforms. Develop test proposals that define populations, KPIs, runtime requirements, and minimum detectable effects. Analyze results with rigor, develop clear insights, and deliver recommendations that drive confident decision‑making.

Apply advanced statistical methods — including sequential testing, CUPED variance reduction, and Bayesian approaches — to increase the speed and sensitivity of the experimentation program. Apply causal inference methods for always‑on optimization scenarios and geo‑targeted campaigns where traditional A/B testing is not feasible.

Serve as the statistical methodology owner for Stats Engine — Client's proprietary experimentation platform. Define, validate, and document the…