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Company Description
Savage Recruiting Group (SRG) is a boutique recruitment firm specializing in AI and Data Science talent, trusted by technology-driven organizations to build high-performing data teams across the globe. Led by Founder & Managing Partner Andrew Savage, who has been focused on identifying, developing, and placing top-tier data professionals since 2011, SRG blends executive-caliber retained search with practical advisory support on the data hiring market and in-house hiring strategy. Andrews background includes acting as a hiring consultant to companies such as Square, Airbnb, Cloudera, and Facebook, and serving as Lead Technical Recruiter at Faire, where he built standard practices for attracting world-class talent in Data, Engineering, and Machine Learning. SRG partners with pre- and post-IPO companies across industries to recruit Data Scientists, Machine Learning Engineers, Data Engineers, AI Platform/ML Ops specialists, Analytics and Data Science leaders, and adjacent technical roles integral to modern data platforms. Clients value SRGs hands-on, consultative, and results-driven approach, underpinned by nuanced technical fluency that enables precise role definition, rigorous assessment, and efficient shortlisting aligned to both technical requirements and culture. Beyond filling immediate roles, SRG helps organizations design scalable, repeatable hiring programscovering market mapping, competency frameworks, interview design, and candidate experienceto ensure long-term talent attraction. The firms track record is reinforced by endorsements from leaders who have built data organizations at high-growth companies, highlighting SRGs ability to grasp the complexities of AI initiatives and translate them into effective hiring outcomes. Whether supporting venture-backed startups or established enterprises, SRG provides clarity on evolving data skill sets, accelerates time-to-hire, and delivers candidates who elevate impact across analytics, experimentation, machine learning, and AI platform engineering.
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