Data Scientist for Top Cosmetic firm

Headquarters: SummaryWe 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 informationThis 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. Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/data-scientist-for-top-cosmetic-firm-toptal