About the Job:
As a pioneer remote-first tech company, the company attracts a multitude of applicants globally and has developed a unique hiring process. The Talent Science team is dedicated to ensuring effective talent selection leveraging objective and scientifically rigorous processes. This role focuses on making informed decisions that enhance the hiring model for selecting top talent from diverse backgrounds.
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As a Talent Scientist, you will collaborate with Hiring Leads to implement initiatives, automate processes, and provide insights on talent assessments. This role emphasizes the science of talent and performance rather than traditional recruiting. You will engage with global stakeholders to monitor hiring activities, streamline operational processes, and enhance candidate experience while fostering diversity and inclusion.
Key Responsibilities:
- Drive talent analytics to provide real-time insights for hiring processes.
- Conduct in-depth behavioral talent interviews to gain insights into motivations and behaviors.
- Build relationships with stakeholders to meet hiring agendas and ensure consistency.
- Utilize data-driven insights for informed decision-making.
- Review and improve hiring processes and tools continuously.
- Collaborate with external parties to maximize return on investment.
- Advocate for diversity and inclusion, removing unconscious bias from the hiring process.
Qualifications:
- A Bachelor’s or Master’s degree in a Psychology-based subject.
- Experience in talent acquisition within the technology or consulting sector.
- Strong analytical skills with ability to identify trends using SQL; proficiency in Python and/or advanced statistical analysis is a plus.
- Familiarity with psychometric assessments and experience conducting behavioral interviews.
- Excellent self-organization skills to work effectively in a remote environment.
- Willingness to travel for company events 2-4 times a year.
Additional Skills:
- Experience in sourcing and headhunting within the industry.
- Knowledge of statistical significance testing, Bayesian inference, predictive analytics, and machine learning.
- Exposure to tools such as LinkedIn Talent Insights, Greenhouse, DISC profiling, and Superset.
What We Offer:
- Competitive compensation aligned with geographical location and experience, along with an annual performance-driven bonus.
- Comprehensive benefits that reflect our values, including a personal learning and development budget of USD 2,000 per year, annual compensation review, and employee assistance programs.
- Opportunities for travel and participation in team sprints.
Diversity and Inclusion:
The company is committed to fostering a workplace free from discrimination. We value diverse experiences and perspectives, ensuring fair consideration for all applicants.
Location: Dubai, Dubai, United Arab Emirates (Remote)
Work Conditions: Full-time, Remote position based in the EMEA region.
