• Daten in fundierte Entscheidungen umwandeln • Verbesserung nachhaltiger Geschäftsprozesse • Teilnahme an Weiterbildungsinhalten in Datenwissenschaft • Datenverarbeitung und -visualisierung erlernen • Anwendung von KI und Automatisierung

• Lead the design, development, and deployment of cutting-edge AI solutions on Google Cloud Platform (GCP), focusing on solving key business challenges within the healthcare industry. • Build Generative AI Systems: Architect and build sophisticated Generative AI applications, including Agentic AI systems and advanced RAG pipelines. • Leverage expertise in Gemini Enterprise, various embedding models, and scalable vector databases to integrate LLMs with vast repositories of business data. • Apply Classical Machine Learning: Utilize a strong foundation in classical machine learning to develop and implement models for forecasting, classification, risk prediction, and other critical business applications. • Shape AI Strategy: Act as a subject matter expert on GCP-based AI development, working with stakeholders to translate business needs into actionable, AI-powered solutions and influencing the direction of our technology roadmap. • Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. • Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care.

Title: Senior Data Scientist (NLP) Location: Remote EST or CST time zone Job Description: Life Sciences & Healthcare Job ID:JREQ134341 We are seeking a Senior Data Scientist specializing in Natural Language Processing (NLP) and modern retrieval-augmented generation (RAG) architectures to join our Life Sciences & Healthcare (LS&H) team. This is an amazing opportunity to work on large-scale AI-enabled solutions that modernize and enhance our content delivery systems. You’ll be at the intersection of innovation, architecture, and real-world AI integration. The team consists of several domain and technical experts and reports to the VP of AI, Content. We would love to speak with you if you have deep expertise across text processing pipelines including indexing, vectorization, prompting, fine-tuning, summarization and context management and bring hands-on experience with frameworks like LangChain and LangGraph. Familiarity with architectures such as VRAG and GraphRAG is highly desirable. About You – Experience, Education, Skills, and Accomplishments - Bachelor’s degree in Computer Science, Data Science, Computational Linguistics, or a related field - At least 5 years of hands-on experience in data science, focused on natural language processing (NLP) - At least 5 years of experience using Python, with expertise in NLP libraries such as LangChain, LangGraph, or other “Lang”-based toolkits - Proven experience in model development and applying machine learning techniques to real-world problems It would be great if you also had: - Expertise in retrieval-based LLM workflows (RAG, VRAG, GraphRAG) - Deep understanding of embedding models, semantic search, and vector stores (e.g., FAISS, Pinecone) - Experience with document loaders and text splitters/document splitting strategies - Familiarity with MLOps practices and production-level deployment of AI pipelines - Experience with cloud platforms (e.g., AWS, Azure, or GCP) - Experience applying Graph Neural Networks (GNNs) to retrieval-enhanced generation - Knowledge of LangSmith and vector orchestration platforms - Familiarity with multilingual NLP and cross-lingual embeddings - Exposure to real-time knowledge graphs and stream-based RAG systems - A Master’s or PhD in a technical field (Computer Science, Data Science, etc.) What will you be doing in this role? -  Design NLP Workflows: Develop scalable pipelines for text ingestion, cleaning, normalization, and tokenization to support downstream applications. - Implement Indexing and Vectorization Strategies: Architect and maintain robust indexing systems and vector databases for semantic search and retrieval. - Develop Prompting and Finetuning Frameworks: Create reusable prompting strategies and lead fine-tuning initiatives for LLMs tailored to business-specific tasks. - Build LangChain/LangGraph Applications: Construct dynamic knowledge systems and agentic workflows using LangChain and LangGraph. - Integrate Advanced RAG Architectures: Apply VRAG and GraphRAG design patterns to enrich information retrieval and contextual understanding. - Conduct Performance Optimization: Perform benchmark testing and model evaluations to improve accuracy, efficiency, and scalability of NLP systems. - Collaborate Across Teams: Work closely with engineering, product, and research stakeholders to deliver integrated AI-driven features. - Provide Technical Leadership: Mentor junior data scientists, guide best practices, and drive innovation across AI projects. About the Team This role sits within the Life Sciences & Healthcare (LS&H) segment under the Content Technology team. The team is focused on driving innovation through large-scale AI solutions. You’ll work closely with the VP of Content Technology, Solutions Architects, and internal stakeholders who are SMEs and the end users of the platform. This role offers the chance to contribute meaningfully to cutting-edge AI projects that have visibility across leadership teams. The work is focused, impactful, and offers excellent career advancement opportunities in a fast-evolving AI space. Hours of Work - Full-time permanent position, primarily working core business hours in your time zone, with flexibility to adjust to various global time zones as needed - Fully remote position based in the US but must reside in an EST or CST time zone. May also be based in our Barcelona, Spain office. Compensation - US Only The expected base salary for this position is $117,000 - $147,000 USD per year.  This role is eligible for bonus incentive earnings.  Individual pay is based upon experience, education, skill and ability, expertise, and relevant factors. In addition to a competitive remuneration package, you will be eligible to participate in a benefits package that includes medical, dental, prescription drug, life insurance, 401k with match, long term disability coverage, vacation, sick time, volunteer time, discount programs, and many more. At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Role Description JETNET is seeking an Aviation Intelligence Data Scientist to help shape the future of aviation data intelligence. This is not a traditional analytics role. It is a strategic, hands-on opportunity for a data scientist who can architect intelligence frameworks, build AI-enabled workflows, and transform vast historical and live aviation data into scalable, production-ready capabilities. In this role, you will sit at the center of JETNET’s evolution into a modern Data Operations & Aviation Intelligence function. You will partner closely with leadership, engineering, and frontline research teams to develop intelligence models and systems that improve data quality, accelerate researcher workflows, strengthen product innovation, and expand JETNET’s competitive advantage in the aviation intelligence space. Key Responsibilities - Lead the design of JETNET’s post-ingestion intelligence layer, converting raw aviation data into structured, workflow-ready insights. - Build and refine intelligence frameworks such as confidence scoring, inference models, entity resolution, ownership continuity, and relationship strength modeling. - Develop AI-assisted workflows and LLM-enabled tools that surface ranked suggestions, next-best actions, and confidence-weighted recommendations for researchers. - Identify and prioritize high-value data gaps and enrichment opportunities across aircraft, companies, contacts, and related aviation entities. - Design graph-based models and linking strategies to strengthen relationship discovery and reduce duplication across datasets. - Apply process mining and operational analytics to improve the ingest, verification, and publishing lifecycle, reducing bottlenecks and cycle time. - Partner with aviation researchers to build practical, scalable solutions that improve consistency, speed, and data confidence in daily workflows. - Lead end-to-end data science initiatives from problem framing through experimentation, validation, deployment, and performance monitoring. - Collaborate closely with the CTO and Engineering Team to productionize models and intelligence capabilities within modern data environments. - Translate complex findings into clear, executive-ready reporting, dashboards, and recommendations that support strategic decision-making. Qualifications - Proven success independently leading end-to-end data science initiatives from concept to production deployment. - Strong expertise in AI/ML, including building, evaluating, and optimizing production-grade models and LLM-assisted systems. - Experience designing intelligent workflows that blend automation, analyst judgment, and measurable performance improvement. - Hands-on experience with graph-based linking, probabilistic modeling, entity resolution, and relationship discovery techniques. - Strong operational mindset, with experience using analytics to identify process optimization opportunities and improve workflow outcomes. - Experience working with both structured and unstructured data, including OCR and extraction workflows. - Advanced proficiency in Python and SQL, with experience in modern cloud data environments and model deployment practices. - Strong business judgment and the ability to prioritize work that delivers meaningful product, operational, and customer impact. - Excellent communication skills, including the ability to explain complex technical concepts to non-technical audiences and executives. - Curiosity, ownership, and a builder mentality, with enthusiasm for solving difficult data problems in a specialized industry. Location Open to applicants based in the USA with current legal authorization to work. Compensation Range $100,000 - $135,000/year Benefits - Remote Work Flexibility: Enjoy a balanced work-life arrangement with remote flexibility, empowering you to deliver your best work from home. - Comprehensive Paid Time Off: We understand the value of rest and recharge, so we offer competitive PTO to support a healthy work-life balance. - Comprehensive Benefits Coverage: With health, dental, and vision benefits, we prioritize your well-being so you can focus on making an impact. Why Join Us? At JETNET, you’ll be part of an innovative company that stands at the forefront of aviation data solutions with a sterling reputation in the industry.