Data Scientist

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.