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Data Scientist

🕒 2 days ago
Data ScienceStatistical ModelingCausal InferenceExperimentation

📜 Description

  • Develop sophisticated statistical models, experiments, and causal inference approaches that uncover the drivers of client and business outcomes and inform high-impact decisions.
  • Build scalable analytical capabilities—including semantic layers, entity models, and repeatable workflows—that connect fragmented data and enable analytics, predictive modeling, AI applications, and self-service
  • Own complex, ambiguous analytical initiatives from problem definition through execution, measurement, and communication, translating findings into clear recommendations and executive-ready narratives.
  • Partner with Client Experience, Strategy, Marketing, Styling, Engineering, and other cross-functional teams to define success metrics, understand client journeys and behaviors, and identify opportunities to improve

🛠️ Requirements

  • 3+ years of experience in Data Science or a related analytical role.
  • Strong foundation in experimentation, causal inference, statistical modeling, and product analytics.
  • Experience working with complex, interconnected datasets and building scalable data structures or analytical capabilities.
  • Proficient in Python or R and SQL, with experience in collaborative, production-oriented environments.
  • Strong communication skills and independent problem-solving abilities.

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