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Job Post Details

Data Scientist - job post

Kontrakt B2B
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Opis stanowiska

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Wymiar pracy

  • Kontrakt B2B

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.

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

Form of employment:


Experience level:



  • AI Solution Development

    Utilize AA & AI platforms and frameworks to develop AI-powered solutions tailored to specific business challenges, ensuring alignment with market needs and supporting informed decision-making processes

  • Ecosystem Enhancement

    Enhance existing AI ecosystems by integrating new technologies and algorithms, optimizing performance, and ensuring scalability to meet evolving business requirements

  • Model Building and Evaluation

    Build, train, and evaluate machine learning models using advanced algorithms and techniques, ensuring robustness, accuracy, and reliability in addressing business challenges

  • Data Analysis and Insights Generation

    Conduct thorough data analysis to extract insights and patterns, enabling informed decision-making and supporting market-relevant strategies

  • Algorithm Optimization

    Optimize algorithms and models for performance and efficiency, leveraging AA & AI platforms and frameworks to enhance scalability and reduce computational costs.

  • Client Collaboration and Consultation

    Collaborate closely with clients to understand their business challenges, provide expert consultation on AI solutions, and tailor offerings to meet specific market needs

  • Continuous Learning and Innovation

    Stay abreast of the latest advancements in AA & AI technologies, continuously learning and innovating to develop cutting-edge solutions that address emerging market challenges

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


  • Data Science Experience (2+ years)

    Candidates must have a background in Data Science or Machine Learning with at least 2 years of working experience in this field

  • Deep Learning Framework Proficiency (2+ years in TensorFlow)

    Preference for candidates with at least 2 years of experience in Deep Learning Frameworks, particularly TensorFlow.

  • Advanced Python Skills

    Proficiency in Python equivalent to 4-5 years of experience, demonstrating advanced programming capabilities

  • Intermediate SQL Skills

    Proficiency in SQL databases equivalent to 2-3 years of experience, enabling efficient data manipulation and querying

  • Understanding of MLOps Concepts

    Familiarity with MLOps concepts, ensuring proficiency in managing machine learning models in production environments

  • Willingness to Learn Dataiku

    Openness to learning Dataiku, a valuable skill for working with data science platforms and tools

  • Relevant Educational Background and Professional Experience

    Hold a degree in Data Engineering, Computer Science, Statistics, Mathematics, Information Systems, or possess relevant professional experience

  • Practical Experience in Data Science Areas

    Demonstrated practical experience in areas such as Computer Vision, NLP, and Predictive Modeling, showcased through delivered projects

  • Technology Skills

    Proficiency in technology-related skills such as intermediate-level SQL databases and Python or R and related libraries, along with basic experience in technologies supporting building data pipelines like Ansible, Bamboo, Docker, Kubernetes, Git, etc.

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