DataTeams

Companies need to fill Data Science, Analytics, Data Engineering, Deep Learning and AI roles across industry verticals but struggle to quickly find candidates with the right, often specialized, skill sets. Sourcing and vetting such talent internally takes significant time and effort, whether the need is for a full time employee or a short-term contractor. Businesses also often want to trial a candidate's fit before committing to a full time offer, which is hard to arrange without a structured process. This leaves hiring managers spending long cycles screening, testing, and interviewing candidates for crucial data and AI roles.

DataTeams maintains a pre-vetted database of Data Professionals across 12 industry verticals and runs a multi-step process to match them to client needs: screening applicants using AI and manual review, testing via interviews reviewed by consultants with experience at companies like LinkedIn, Netflix, and Google, peer or leader review with internal scorecards, and sharing the top 3 to 5 profiles for the client to interview and choose from. It supports both full time hires and freelance or contract engagements, including contract-to-full-time conversion, and handles onboarding steps such as background verification, medicals, and document verification. The company also runs monthly reviews once professionals are placed to help mitigate issues. Stated turnaround time is 14 days for full time hires and 72 hours for contract professionals.