Наши требования
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
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