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  • Data Scientist
    Data

    Data Scientist

    3 842 - 4 803 USDGross/month - Permanent
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    Permanent
    Operating mode
    Remote

    Tech stack

      PySpark

      regular

      SQL

      regular

      Python

      regular

      Cloud Platforms

      nice to have

    Job description

    Tasks:


    • Design, develop, and deploy analytical and predictive models to support business decision-making.
    • Develop and implement analytics solutions for large-scale data sets using tools such as SQL, PySpark, and Python.
    • Construct and deploy machine learning algorithms tailored to the organization’s specific needs in areas like NLP, LLM, prediction, or classification.
    • Conduct experiments, optimize models, and fine-tune them to meet changing business requirements, using techniques like Hyperopt or XGBoost.
    • Work closely with analytics and technology teams, communicating results and recommendations effectively to business stakeholders.
    • Keep up with and adapt new advancements in AI/ML, including Generative AI, Quantum Computing, and Responsible AI, to provide a competitive advantage for the organization.


    Experience:


    • Minimum of a Bachelor’s degree in fields such as Computer Science, Physics, Mathematics, Quantitative Methods, or a related discipline.
    • At least 3 years of experience in applying data-driven methods to various business scenarios, including the creation and use of advanced analytics and machine learning algorithms.
    • Proficiency in at least one programming or query language, such as Python, PySpark, or SQL.
    • Strong understanding of machine learning concepts and algorithms, such as clustering, regression, classification, forecasting, neural networks, hyperparameter optimization, NLP, and LLM.
    • English Language: Very good command of English, both written and spoken.


    Nice to have:


    • Experience with frameworks like XGBoost, LightGBM, SMOTE, Prophet, Hyperopt, Keras, or OpenAI API.
    • Strong drive for continuous learning, whether it’s about new technologies or mastering relevant machine learning algorithms. Interest in topics like Generative AI, Quantum Computing, or Responsible AI.
    • Experience with Cloud Platforms: Experience or interest in delivering analytical projects on leading cloud platforms, such as GCP (Vertex AI), Azure (Machine Learning, Functions, Data Factory), AWS (Sagemaker, Athena), and familiarity with Databricks.


    Offer:


    • Stable employment conditions based on an employment contract
    • Private medical care,
    • Life insurance
    • Employee share program
    • Access to the MyBenefit platform (possibility of using a wide range of products and services, including the Multisport card and the lunch card).
    • A wide training package (soft and technical training offer, access to the e-learning platform, possibility of co-financing courses and certification)
    • Participation in the implementation of projects on a global scale for the largest international companies using the latest technological solutions and tools.


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