Data Scientist for Predictive Analytics in Retail Insights
Skills Required
Description
We’re seeking a data scientist who can help us transform retail data into actionable insights through predictive analytics. The goal is to forecast trends, anticipate customer behavior, and support decision-making that drives measurable business outcomes. This position requires deep analytical thinking paired with a strong understanding of the retail landscape.
The role will center on building predictive models that uncover sales trends, seasonal patterns, and consumer preferences. By leveraging both historical data and external signals, the data scientist will guide the company in making proactive, data-driven decisions that enhance revenue and optimize inventory.
Machine learning models will play a central role in this process. The data scientist should have experience designing, training, and validating models that can accurately predict future sales and customer behavior. Whether the task involves regression, classification, or time-series forecasting, the goal is to deliver results that are both accurate and explainable.
Beyond modeling, this role will also require strong data wrangling and preprocessing skills. Raw retail data can be messy, incomplete, or inconsistent, so the ideal candidate should be comfortable cleaning, transforming, and merging multiple data sources into structured datasets ready for analysis.
Visualization will be an important part of the work. Insights should be communicated in ways that are easy for non-technic...