Informacje o stanowisku

For our international Client we are looking for Data Scientist.
Job 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

Requirements:

• 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
• Remote working model
• 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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