Data Scientist for Top Cosmetic firm

Headquarters:

• 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.

To apply: https://weworkremotely.com/remote-jobs/toptal-data-scientist-for-top-cosmetic-firm