Lead Data Scientist

Job Summary:

We are seeking a highly motivated and technically proficient Data Scientist to join our dynamic team, with a specialized focus on Artificial Intelligence (AI) and Natural Language Processing (NLP). This role is ideal for a self-driven individual who thrives in an intellectually stimulating environment and can independently lead and execute complex, high-impact data science initiatives. The ideal candidate will demonstrate a deep understanding of cutting-edge AI/NLP techniques and be passionate about applying them to solve real-world problems at scale.

Key Responsibilities:

• Lead the design and development of AI and NLP models tailored to complex business and research challenges.
• Own the full data science lifecycle — from problem definition and data exploration to modeling, evaluation, and deployment.
• Collaborate with product managers, data engineers, and domain experts to deliver end-to-end solutions.
• Stay updated on the latest advancements in AI and NLP and integrate relevant innovations into ongoing projects.
• Present findings and recommendations clearly to both technical and non-technical stakeholders.
• Develop reusable components, frameworks, and pipelines to accelerate future AI/NLP initiatives.
• Conduct rigorous model validation, performance benchmarking, and continuous improvement of deployed models.
• Contribute to the creation of technical documentation, research papers, or internal knowledge-sharing sessions.
• Mentor junior data scientists and support team capability building in AI/NLP.
• Ensure ethical AI practices, data privacy compliance, and responsible model deployment across projects.

Key Skills & Competencies:

• Strong analytical and problem-solving skills with a proven ability to translate business needs into technical solutions.
• Excellent communication and collaboration skills across multidisciplinary teams.
• Ability to work independently and take ownership of project deliverables and timelines.
• Demonstrated experience in real-world applications of AI/NLP, including research, industry deployments, or open-source contributions.

Technical Experience Required:

• Expertise in machine learning and deep learning techniques applied to NLP tasks such as text classification, entity recognition, semantic search, summarization, and language modeling.
• Proficiency in Python and libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, scikit-learn, NLTK.
• Strong understanding of statistical methods, experimental design, and data-driven decision-making.
• Experience with model deployment, performance optimization, and working in cloud environments (AWS, GCP, Azure).
• Familiarity with MLOps practices, CI/CD pipelines, and containerization tools (e.g., Docker, Kubernetes) is a plus.

Education & Experience:

• Bachelor’s / Master’s Degree in Computer Science, Artificial Intelligence, Data Science, Computational Linguistics, or a related field.
• Ph.D. (completed or expected within 3 months) preferred.
• 5+ years of experience into Data science role.