Precision hiring for specialized data roles

Client Context
A global travel company was scaling its analytics and AI capabilities to support marketing optimization, experimentation, and customer segmentation initiatives. As priorities expanded, the organization required not just individual hires, but a reliable partner to build and scale a specialized data team aligned to its tools, workflows, and time zones.

The client needed to rapidly hire high-quality data professionals—including Data Scientists, Analysts, and AI-focused engineers—without compromising on technical depth or stakeholder communication. Traditional hiring cycles were slow, and internal teams lacked the bandwidth to vet candidates across advanced analytics, machine learning, and production-ready data workflows. Timezone alignment and seamless integration with U.S.-based teams were critical.

Neticca partnered through its Embedded Experts (NE2) model, applying a structured, role-specific vetting process to identify execution-ready talent. For the initial role, Neticca screened and evaluated 10 candidates across statistical modeling, SQL and Python proficiency, and business communication before deploying a senior Data Scientist within 10 business days.

This process established a repeatable hiring framework, enabling the client to confidently scale additional specialized roles—including analytics and AI-focused positions—using the same precision-driven approach. All embedded consultants operated in full U.S. EST alignment and worked directly within the client’s existing teams and systems.

The client accelerated campaign analytics and experimentation, reducing turnaround times by approximately 45% while maintaining quality and control. The embedded hiring model delivered significant cost efficiencies compared to direct U.S. hiring and allowed leadership to scale a high-performing data function without long-term hiring risk.