Data Scientist for Top Cosmetic firm

August 31, 2026

Summary We are seeking a Data Scientist to analyze anonymized consumer interaction data and uncover patterns in unstructured language across call center and cross-channel conversations. The primary goal is to identify intent, surface trends, and turn language into structured insights that can inform content strategy and web experiences.General information This engagement focuses on a large historical dataset collected over 10 years across consumer information and interaction touchpoints. The data includes call center and cross-channel interactions, with existing KPI reporting around areas such as conflict types and call duration, but limited analysis of the underlying unstructured language.The data sits in a homegrown database and Azure environment, with an anonymized semantic layer. The initial phase will be exploratory and somewhat open-ended, starting with manual exports of conversation data before more connected pipelines are established. This role will work closely with a Program Manager supporting the broader effort. Tasks and Deliverables - Analyze anonymized consumer interaction and call center conversation data. - Review exported conversation data across channels, brands, and interaction types. - Identify intent patterns within unstructured language and conversation content. - Spot trends in customer language not captured by existing KPI reporting. - Convert unstructured language into structured insights and usable analysis frameworks. - Develop recommendations on how findings can inform content strategy. - Explore how LLM-era language analysis can support web content decisions. - Collaborate closely with the paired Program Manager on analysis priorities and outputs.Required experience - Proven experience as a Data Scientist working with large-scale datasets. - Strong experience analyzing unstructured text or language-based data. - Experience identifying trends, patterns, and intent signals from customer interactions. - Ability to translate exploratory analysis into structured, actionable insights. - Experience working with anonymized or sensitive consumer data. - Familiarity with Azure-based data environments.Engagement highlights - Opportunity to shape the first meaningful language analysis of a rich 10-year dataset. - High-ownership engagement with room to define the analytical approach. - Direct impact on how customer language insights inform content and web strategy.

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