Senior / Principal Data Scientist
(m/f/d)
Employment with Hays Professional Solutions GmbH Penzberg Start date: asap Reference number: 839863/1
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Responsibilities
Collect, clean, and preprocess structured and unstructured data from various sourcePerform exploratory data analysis to uncover trends and patternsDvelop predictive and prescriptive models using machine learning and statistical techniquesDesign, develop, customize, optimize, and fine-tune algorithms tailored to specific use cases such as anomaly detection, predictive modeling, time-series forecasting, recommendation systems, text generation, summarization, information extraction, chatbots, AI agents, code generation, document analysis, sentiment analysis, data analysis, etc.Collaborate with developers and stakeholders to integrate statistical models, LLMs and classical AI techniques into end-user applications, focusing on user experience, and real-time performance
End-to-End Pipeline Development:Build and maintain production-ready end-to-end pipelines, including data ingestion, preprocessing, training, evaluation, deployment, and monitoringAutomate workflows using DevOps / MLOps best practices to ensure scalability and efficienceCollaborate with other developers to deploy models at scale, using cloud-based infrastructure (AWS, Azure)Implement continuous monitoring and refining strategies for deployed models, using feedback loops and incremental fine-tuning to ensure ongoing accuracy and reliability; address drifts and biases as they arise.Apply software development best practices, including writing unit tests, configuring CI/CD pipelines, containerizing applications, prompt engineering and setting up APIs, ensure robust logging, experiment tracking, and model monitoring Profile
Deally Master’s degree in data science, computer science, statistics, or related quantitative fieldExperience in data science or a related roleExperience in AI/ML engineering, with exposure to both classical machine learning methods and language model-based applicationsAdvanced proficiency in Python, data analytics, statistical modeling and ML/AI.
Experience with leading ML/AI frameworks and tools, with hands-on experience in designing and implementing end-to-end GenAI pipelinesStrong understanding of DevOps / MLOps tools and practices, including version control, CI/CD pipelines, containerization, orchestration, Infrastructure as Code, automated deploymentExperience in deploying statistical models, LLM and other AI models with cloud platforms (AWS, Azure) for robust and scalable productizationsExpertise in working with structured and unstructured data, including data cleaning, feature engineering with data stores like vector, relational, NoSQL databases and data lakes through APIsEffective communication in English, problem-solving and innovative mindset, adaptability, curiosity, responsibility Benefits
30 days leave per yearA highly motivated team and an open way of communication You will work in an international environmentWe will give you valuable tips and feedback on your application documents and interviews