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Senior Data Scientist - job post

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Na podstawie pełnego opisu stanowiska

  • Pakiety i karty sportowe
  • Prywatna opieka medyczna

Pełny opis stanowiska

Break into the IT industry without coding or tech skills and join teams working on international projects.

Senior Data Scientist

Seargin is a dynamic multinational tech company operating in 50 countries. At Seargin, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate.


Data Scientist




European Union

Experience level:


Form of employment:



  • Project Execution

    Lead the end-to-end development of data science projects, from initial proof-of-concept to full-scale production, ensuring alignment with business objectives.

  • Advanced Analytics Development

    Utilize state-of-the-art algorithms and data science techniques to develop solutions in areas such as forecasting, anomaly detection, and natural language processing.

  • Solution Deployment

    Implement, scale, and maintain advanced analytics solutions, ensuring they are optimized for performance and scalability.

  • Innovation and Sharing

    Continuously explore and integrate new methodologies, tools, and technologies into projects. Share findings and best practices with the GPAA community and beyond.

What we offer:

  • B2B Contract

    Employment based on a B2B contract

  • Stable and Dynamic International Firm

    Opportunity to work in a stable, dynamically developing international company.

  • Engaging Projects and Latest IT

    Chance to participate in interesting projects and work with the latest information technologies.

  • Competitive Rates

    Attractive remuneration rates offered.

  • Renowned International Projects

    Involvement in the most prestigious international projects.

  • Multisport and Private Medical Care

    Access to Multisport benefits and private healthcare services.


  • Advanced Degree

    MSc, PhD, or similar advanced degree in a data science-related field such as statistics, mathematics, computer science, or engineering.

  • Professional Experience

    Minimum of 5 years of hands-on experience in data science, with a proven track record of applying statistical modeling and machine learning in a business context.

  • Technical Proficiency

    Extensive experience with Python, AWS, and MLOps technologies such as Docker, Kubernetes, and CI/CD pipelines.

  • Domain Expertise

    Strong background in time series forecasting, anomaly detection, text analytics, NLP, and deep learning.

  • Communication

    Excellent verbal and written communication skills in English, capable of explaining complex analytical concepts to a non-technical audience.

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