Data Science Project Coordinator
4 weeks ago
Mercor is a talent marketplace powered by AI models to predict human ability. Our AI interviewer has a 30-minute verbal conversation with candidates to holistically assess their background.
Using resumes, AI interviews, and online profiles like GitHub, we believe it's possible to match talent with the opportunities they're best suited for. With an estimated annual salary of $90,000 in Silicon Valley, this role presents a unique opportunity to propel Mercor's growth by managing complex projects within the lifecycle of our engagement with customers.
About the Role:
We are seeking experienced professionals to oversee end-to-end assessment strategies to ensure the selection of high-quality talent that meets specific client requirements, using Mercor's platform or other external sources.
Key Responsibilities:
- Lead the design and management of recruitment pipelines to source domain experts for various AI model training projects commissioned by foundational AI companies.
- Coordinate with internal teams and the wider Operations team to execute high-impact action items requiring data pipeline design and analysis to ensure timely delivery of top-notch deliverables.
- Aid in managing client relationships, translating their requirements into actionable plans and driving the execution of core tasks.
- Onboard and interface directly with domain experts on bespoke tasks essential to the project's success, ensuring alignment with client expectations and project goals.
Requirements:
- B.Tech. or B.E. (Computer Science, software engineering, Information Systems, Analytics or related fields)
- M.B.A. or Master's degree (in Business Analytics, IT Project Management or similar business discipline)
- Work experience of around 1-4 years (Relevant experience as Consultant, Business Analyst, Project Manager will be preferred)
Hiring Process:
- Initial screen with an AI interview
- Case study Interview
- Trial period with the Operations Team
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