Senior Data Scientist

Senior Data Scientist

This is an exciting opportunity to lead the development of an advanced AI-powered document intelligence platform that tackles complex, real-world data challenges. In this role, you will combine expertise in machine learning, generative AI, and scientific data analysis to transform unstructured documents into searchable, actionable knowledge. Working alongside multidisciplinary experts, you will design scalable AI solutions, develop production-ready ML pipelines, and leverage cloud technologies to deliver high-impact outcomes. The position offers significant technical ownership, exposure to cutting-edge technologies, and the chance to contribute to innovative projects at the intersection of AI and scientific research. If you thrive on solving challenging problems and building intelligent systems from the ground up, this role offers an outstanding opportunity to make a meaningful impact.

Accountabilities

• Design, develop, and optimize advanced machine learning and deep learning models capable of extracting, interpreting, and structuring information from unstructured and scanned PDF documents, including complex scientific data.
• Build and enhance Large Language Model (LLM) applications by leveraging vector databases and retrieval-augmented generation (RAG) techniques to enable semantic search and intelligent document discovery.
• Own the full machine learning lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, monitoring, and continuous optimization.
• Apply domain expertise to convert complex scientific or chemical information into machine-readable representations that support advanced analytics and AI-driven insights.
• Deploy scalable, secure, and production-ready AI solutions within AWS cloud environments while ensuring performance, reliability, and maintainability.
• Collaborate closely with software engineers, data engineers, and subject matter experts to integrate AI models into production systems and align technical solutions with business objectives.
• Continuously evaluate emerging AI, machine learning, and document intelligence technologies to improve platform capabilities and solution effectiveness.

Requirements

• Minimum of 5 years of professional experience as a Data Scientist delivering production-grade machine learning solutions.
• Strong academic or professional background in Chemistry, Cheminformatics, or a closely related scientific discipline, with experience working with complex scientific data.
• Advanced proficiency in Python and extensive hands-on experience with AWS cloud services such as SageMaker, Lambda, S3, EC2, or similar technologies.
• Practical experience developing applications with Large Language Models (LLMs), including prompt engineering, fine-tuning, API integration, or retrieval-augmented generation (RAG).
• Experience working with vector databases such as Pinecone, Milvus, Weaviate, Qdrant, or similar semantic search technologies.
• Solid expertise with machine learning and deep learning frameworks including PyTorch, TensorFlow, Scikit-learn, or equivalent tools.
• Previous experience with Computer Vision, Optical Character Recognition (OCR), Document AI, or intelligent document processing solutions is highly desirable.
• Excellent analytical thinking, problem-solving, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
• Availability to join immediately is preferred.
• Comfortable working remotely within European Central Time (CET) hours.

Benefits

• Fully remote position with collaboration across the European CET time zone.
• Immediate opportunity to contribute to a high-impact, cutting-edge AI project.
• Short-term B2B contract (approximately 2 months) with the potential to expand your professional network through innovative initiatives.
• Opportunity to work with advanced technologies, including Generative AI, LLMs, vector databases, cloud-native AI solutions, and intelligent document processing.
• Collaborative environment that values knowledge sharing, technical excellence, continuous learning, and innovation.
• High level of autonomy, ownership, and flexibility with a strong focus on delivering impactful outcomes.
• Access to a community of experienced AI and machine learning professionals through collaborative projects, mentorship opportunities, and innovation initiatives.
• Opportunity to contribute to meaningful AI solutions that solve complex scientific and data-intensive challenges.