Senior Data Scientist

1 week ago

Wrocław Kraków Gdańsk Poznan Warsaw, Czech Republic Capgemini Polska Sp. z o.o. Full time
  • master's or PhD in Computer Science, Mathematics, Statistics, or a related field
  • at least 3 years of experience in a data science role
  • expertise in machine learning and deep learning, particularly with generative models
  • strong programming skills in Python, including experience with ML frameworks like TensorFlow or PyTorch
  • good understanding of data structures, data modeling, and software architecture
  • demonstrated ability to lead projects and work collaboratively in a team environment
  • good problem-solving skills and the ability to work on complex issues requiring innovative solutions
  • good communication skills, the ability to explain complex technical concepts to non-technical stakeholders.

Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision. 

,[designing, developing, and deploying state-of-the-art data science solutions in area of GenAI, Computer Vision, RCA, EDA, NLP, cooperating with the client stakeholders, leading data science projects from conception to deployment, including data collection, preprocessing, model development, and performance evaluation, collaborating with cross-functional teams (including engineers, product managers, and other data scientists) to integrate AI models into our products and services. ] Requirements: Python, AWS, Azure, GCP, MLOps

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