Data Recruitment Specialist
3 weeks ago
Aryng is a pioneering Data Science consulting, training, and advising company. Our SWAT Data Science team helps solve complex business problems, develop the company's Data DNA through Data Literacy programs, and deliver rapid ROI using machine learning, deep learning, and AI.
Our client list includes companies like Google, Box, Life360, Ipsy, Applied Materials, and GE among others.
Why AryngAt Aryng, we are passionate about the art of recruitment. As a Tech Recruiter, you will successfully execute the entire Aryng's recruitment cycle from Screening to the new hire start date. You will OWN the process.
The ideal candidate will have prior experience recruiting for IT and data science roles. This position will report to the senior HR Manager.
Our Core ValuesWe have a non-hierarchical, super-transparent culture. We all know what everyone is working on, where we are going, and how we are doing.
We are all learners, entrepreneurial, and love growth.
We are super talented and are known in the industry as a SWAT data science team.
Job Requirements- Comprehensive Recruitment Management: You have a minimum of 4 years' full-cycle recruitment experience, with a focus on hiring for data roles.
- Talent Strategy: Develop recruitment strategies that align with organizational goals to attract high-quality talent promptly.
- Candidate Pipeline Development: Build and maintain a strong candidate pipeline through proactive sourcing, including ATS, networking, and social media.
- Collaboration: Work with Aryng's team to grasp job needs and team dynamics for optimal talent fit.
- Cultural Fit Recruitment: Promote Aryng's values and Remote culture to attract candidates that align with our culture.
- Remote Employment: You can confidently hire Remotely and have knowledge of Google Suite (Calendar, Docs, Sheets, Slides, Gmail), Zoom, Slack, and Workable (or similar).
- Candidate Experience: Create a positive candidate experience by maintaining clear communication and fostering genuine, professional relationships.
- Recruitment Analytics: Monitor recruitment metrics like time-to-hire to improve hiring efficiency.
- Employer Branding: Collaborate with the marketing team to strengthen the employer brand via recruitment initiatives.
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