RM_BLAP

Data Scientist (Sourcing Specialist)

Job Summary:

The Data Scientist (Sourcing Specialist) plays a critical role in optimizing the sourcing process through advanced data analysis and insights. By leveraging data-driven strategies, you will enhance our talent acquisition approach, ensuring that we attract and retain the best talent in the industry.

Key Responsibilities:

• Analyze sourcing data to identify trends, patterns, and opportunities for improvement in talent acquisition.
• Develop and implement advanced analytics models to predict hiring needs and candidate success.
• Collaborate with hiring managers to understand their sourcing needs and provide tailored data insights.
• Optimize existing sourcing channels based on performance metrics and market research.
• Conduct competitor analysis to enhance our candidate value proposition and sourcing strategies.
• Create comprehensive reports and dashboards to communicate findings to stakeholders effectively.
• Stay updated with the latest technologies and best practices in data science and talent acquisition.

Requirements:

• Bachelor’s degree in Data Science, Mathematics, Statistics, or a related field.
• Proven experience in data analysis and visualization tools (e.g., Python, R, Tableau, Power BI).
• Strong analytical skills with the ability to interpret complex data sets.
• Excellent verbal and written communication skills for reporting and collaboration.
• Experience with applicant tracking systems and recruiting software.
• Ability to work independently and manage multiple projects in a fast-paced environment.
• Strong attention to detail and a passion for deriving actionable insights from data.

Preferred Qualifications:

• Master’s degree in a quantitative field or relevant certifications in Data Science.
• Experience in the recruitment industry, especially in sourcing or talent acquisition.
• Familiarity with machine learning techniques and their application in recruitment.
• Proficiency in SQL for data querying and management.
• Experience working within diverse and inclusive teams.