Data Scientist for Top Cosmetic firm

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 a