Data Scientist for Customer Behavior Insights
Skills Required
Description
Understanding customer behavior is at the heart of scaling any digital business. This project will require analyzing raw data and turning it into actionable insights that improve decision-making.
The role involves working with large datasets using Python and Pandas to clean, process, and structure information effectively.
Machine learning models may be applied to predict behaviors such as churn, repeat purchases, or engagement levels. Accuracy and interpretability will both be important.
Key focus areas include:
Building datasets from multiple sources
Running exploratory analysis to identify patterns
Creating predictive models tailored to customer needs
SQL skills are essential. Queries should be optimized for performance, ensuring data can be retrieved quickly and accurately.
Visualization tools will be part of the workflow. Dashboards and charts should make complex trends easy for non-technical stakeholders to understand.
Responsibilities will also cover:
Documenting methods and results clearly
Collaborating with marketing and product teams
Suggesting data-driven improvements to user journeys
Some tasks may involve real-time analytics. Building systems that update insights continuously can provide faster feedback loops.
The data scientist should also be comfortable explaining technical findings in plain language, helping teams connect insights to rea...