Natural Language Processing Data Scientist

Summary

Join Lightcast, a global leader in labor market insights, as a motivated and detail-oriented NLP Data Scientist. You will collaborate with a team of experienced professionals to design, develop, and optimize NLP algorithms and models for workforce intelligence applications. This role involves applying advanced NLP techniques to analyze large-scale multilingual text data, ensuring accuracy and readiness for real-world applications. You will conduct rigorous experimentation and validation of models, deploy and maintain NLP-driven applications, and stay abreast of the latest NLP research. The position requires strong communication and collaboration skills to effectively communicate technical insights to diverse stakeholders. This is a unique opportunity to build your career in AI and NLP while contributing to impactful, real-world applications.

Requirements

• Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, AI, or a related field
• 3+ years of hands-on experience in NLP, machine learning, or applied data science; workforce analytics experience strongly preferred
• Solid foundation in NLP, including transformer-based models, LLMs, and knowledge graphs
• Experience with prompt engineering, few-/zero-shot learning, and RAG for tailored NLP applications
• Proficient in parameter-efficient fine-tuning (e.g., LoRA, QLoRA, adapters) to optimize performance and efficiency
• Strong Python skills; experience with Hugging Face Transformers, LangChain, LlamaIndex, and vector databases (e.g., Pinecone, Chroma)
• Knowledge of model optimization techniques like quantization, distillation, and pruning
• Familiar with responsible AI practices, including bias mitigation and model transparency
• Experience with GPU acceleration and distributed training for scalable NLP solutions
• Strong analytical and problem-solving skills; able to align NLP models to business needs
• Excellent communication and collaboration skills in cross-functional environments

Responsibilities

• Design and develop advanced NLP algorithms and models tailored specifically to workforce intelligence applications, such as job postings and professional profiles analysis
• Analyze and preprocess large-scale multilingual text data, ensuring accuracy, consistency, and readiness for advanced modeling and real-world applications
• Conduct rigorous experimentation and validation of NLP models using robust statistical methodologies and relevant evaluation metrics, continuously improving model performance and reliability
• Deploy, monitor, and maintain NLP-driven applications in production, collaborating closely with engineering and product teams to ensure optimal scalability and efficiency
• Stay abreast of the latest NLP research and methodologies, proactively integrating innovative techniques into the team’s workflows to maintain cutting-edge capabilities
• Create comprehensive documentation and guidelines for NLP processes, algorithms, and models, promoting transparency and efficient knowledge sharing within the team
• Effectively communicate technical insights and results to diverse stakeholders, facilitating informed decision-making and alignment across cross-functional teams