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Senior / Principal Data Scientist (m/f/d) Job Opening In Penzberg – Now Hiring Hays


Job description

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 source
  • Perform exploratory data analysis to uncover trends and patterns
  • Dvelop predictive and prescriptive models using machine learning and statistical techniques
  • Design, 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 monitoring
  • Automate workflows using DevOps / MLOps best practices to ensure scalability and efficience
  • Collaborate 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 field
  • Experience in data science or a related role
  • Experience in AI/ML engineering, with exposure to both classical machine learning methods and language model-based applications
  • Advanced 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 pipelines
  • Strong understanding of DevOps / MLOps tools and practices, including version control, CI/CD pipelines, containerization, orchestration, Infrastructure as Code, automated deployment
  • Experience in deploying statistical models, LLM and other AI models with cloud platforms (AWS, Azure) for robust and scalable productizations
  • Expertise in working with structured and unstructured data, including data cleaning, feature engineering with data stores like vector, relational, NoSQL databases and data lakes through APIs
  • Effective communication in English, problem-solving and innovative mindset, adaptability, curiosity, responsibility
  • Benefits

  • 30 days leave per year
  • A highly motivated team and an open way of communication
  • You will work in an international environment
  • We will give you valuable tips and feedback on your application documents and interviews
  • Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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