Senior Data Scientist @

2 weeks ago


Remote, Czech Republic beBeeDataScientist Full time 4,000,000 - 6,000,000

Job Title: Data Scientist Leader

We are seeking a highly experienced Data Scientist to lead our data science team. As a senior data scientist, you will be responsible for leveraging cutting-edge AI and generative AI (GenAI) technologies to enhance tax operations.

  • Develop, train, and fine-tune large language models (LLMs) and AI models using Python, PyTorch, TensorFlow, and related libraries.
  • Collaborate with engineers, data scientists, and business analysts to integrate AI techniques into core tax processes.
  • Design cost and revenue allocation processes, translating business requirements into technical solutions in SAP PaPM.
  • Participate in end-to-end SAP PaPM implementations and integrate with SAP BW, HANA, BPC, FICO, and Analytics Cloud.
  • Optimize standard SAP processes to minimize the need for custom solutions.
  • Perform data modeling, define business rules, and integrate SAP and non-SAP systems.
  • Collaborate closely with development, testing, compliance, and PMO teams to ensure project alignment.
  • Actively support and enhance existing business processes.

Requirements

  • Minimum 6+ years of hands-on experience in data science.
  • Strong programming skills in Python, PyTorch, TensorFlow, and related libraries.
  • Solid understanding of object-oriented design patterns, concurrency/multithreading, and scalable AI/GenAI model deployment.
  • Proficiency in NLP techniques: RegEx, SpaCy, NLTK, text representation, and semantic extraction.
  • Hands-on experience developing, training, and fine-tuning LLMs and AI models.
  • Practical knowledge of CNN, RNN, GANs, RAG, LangChain, and Transformers.
  • Expertise in prompt engineering techniques and vector databases.
  • Familiarity with Azure Cloud Computing Platform.
  • Experience with Docker, Kubernetes, and CI/CD pipelines.
  • Experience with Deep Learning, Computer Vision, CNN, RNN, LSTM.
  • Knowledge of vector databases (Milvus, Postgres, etc.) and other database technologies.

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