Stensul

Data Scientist

• Designing, developing, and validating advanced statistical and machine learning models to solve high-impact business problems, such as churn prediction, customer lifetime value (CLV), and pricing elasticity.
• Leading customer segmentation and cluster analysis initiatives to identify distinct customer groups and inform Go-to-Market (GTM) strategy and personalization efforts.
• Building and deploying interactive data applications (e.g., dashboards, prediction interfaces) using tools like Streamlit, Dash, or Gradio to operationalize model insights and enable self-service consumption by business teams.
• Exploring and experimenting with Natural Language Processing (NLP) and Large Language Models (LLMs) to analyze unstructured data (e.g., support tickets, sales notes, marketing copy) and derive actionable insights.
• Collaborating with Data Engineers to ensure robust data pipelines and production-ready deployment of models within a stable MLOps framework.
• Clearly communicating complex analytical findings, model methodologies, and business recommendations to both technical and executive stakeholders.
• Own and lead end-to-end data science projects from problem definition to final deployment and monitoring in an autonomous way.
• Proactively adding positive energy to our rapidly growing company.

Senior Data Scientist