Business Challenge
To remain competitive, our client serving more than 17 million customers a week in the US, Canada, and Mexico, knew they must continue to accelerate technology capabilities and invest in driving decisions based on data and predictive analytics. This meant hiring the right technical resources, however, they found that competing for qualified candidates was incredibly labor-intensive. There was no time to identify, attract, interview, and onboard in-demand data scientists and data engineers. In addition, the competition was offering starting salaries above market rates for new college graduates. Having partnered successfully with Experis on other initiatives, the client’s hiring managers reached out to us for guidance and support.
Solution
In partnership with our client’s data science team leadership, Experis built a co-managed program staffed by experienced data scientists and data engineers. Our primary focus was on understanding the client’s needs and identifying the profile of the core attributes and skills required to meet them. Together, we developed a thorough, but straightforward technical screening questionnaire founded in Python, C++, Bash, and SQL principles, enabling us to evaluate candidates and identify where they could add the most value. We further streamlined the process by creating a one-hour candidate coding challenge for additional vetting and confirming hiring decisions.
Results
Through the co-managed data science program, Experis delivered a comprehensive and cost-effective data engineering strategy. It enabled the client to compete for and obtain in-demand technical resources. The program also helped improve communication, prioritize candidate onboarding milestones, improve team culture and autonomy, and scale to support growth.
Outcomes included:
- Built and managed a cohesive team of data engineers and data scientists who were onsite and immersed in the client’s culture and brand
- Served as brand representatives and advocated for the client’s leading business units
- Provided technical and quantitative analysis for predictive modeling
- Assisted in statistical data mining and actuarial research
- Increased the use of statistical analysis, innovative research, and data interpretation
- Delivered summary reports to relevant business units within the company
- Provided expertise in:
- Data science and data
- Python/C++ programming
- Machine learning
- Natural language processing (NLP)
- 100% conversion to full time
- < 2% attrition rate
Through the successful delivery of this program, Experis delivered our client over 50
highly qualified technical resources. Based on the success, the client plans to expand it to support the continued growth of the data science team.
