The Challenge
A Fortune 40 retailer serving more than 17 million customers each week across the United States, Canada and Mexico needed to enhance its data engineering and technology capabilities. The goal was to make smarter, data-driven decisions and accelerate innovation. However, the scale of operations demanded a high volume of technical talent and the hiring process for qualified data scientists and engineers was proving to be a major bottleneck.
How We Helped
Experis supported the client with quantitative and technical expertise across a wide range of data projects, including predictive modeling, machine learning, natural language processing and advanced analytics.
To streamline hiring and maintain quality, we designed a comprehensive technical screening process. This included a skills-based questionnaire built on Python, C++, Bash and SQL fundamentals, along with a one-hour coding challenge tailored to evaluate technical aptitude and problem-solving skills.
At the same time, we established a scalable Center of Excellence (COE) model to deliver consistent support and drive long-term value.
The Impact
The engagement delivered measurable improvements in both capability and efficiency.
- More than 50 data scientists and engineers were deployed to support the client’s initiatives.
- A strong data science foundation was established to support ongoing innovation.
- The COE enabled a seamless transition to client ownership with minimal disruption.
- A 100 percent conversion rate to full-time roles was achieved.
- An attrition rate of less than 2 percent ensured stability and continuity.
This strategic partnership allowed the client to grow its data capabilities quickly, sustainably and with confidence in the talent and tools powering its future.
