Lead Data Scientist
3 days ago
Key Responsibilities- Lead and manage the data science team, setting technical direction and ensuring high-quality delivery of AI-driven features.- Design and develop machine learning models for candidate assessment, natural language understanding, and predictive hiring analytics.- Collaborate with engineering, product, and research teams to integrate AI models into production environments.- Oversee data strategy — including data collection, cleaning, labeling, and pipeline optimization.- Implement model monitoring and performance evaluation frameworks to ensure fairness, transparency, and robustness.- Research and prototype new approaches in NLP, voice analysis, and AI ethics in hiring.- Present insights and findings to senior leadership, translating technical outputs into business impact.Requirements- Minimum 3 years' experience in applied data science, machine learning, or AI engineering (experience in HR tech or recruitment AI is a plus).- Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.).- Experience in NLP (transformers, LLMs, text classification, sentiment/emotion analysis, etc.) and familiarity with audio/video data is highly desirable.- Solid understanding of model evaluation, data ethics, and bias mitigation in AI systems.- Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools for scalable deployment.- Excellent communication skills and fluency in English — able to explain complex concepts to non-technical stakeholders.- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (PhD preferred but not required).
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