Data Scientist

Contribute to cutting-edge AI initiatives by applying your creativity, critical thinking, and analytical skills.
Design and implement scalable AI/ML solutions using cloud, generative, and agentic AI technologies.
Work in agile, cross-functional teams combining technical, business, and data science expertise.
Your accountability, responsibility, and autonomy will grow with your experience and seniority - we are looking for specialists with various experience levels

Education & Experience Requirements (Cumulative):
Minimum Bachelor's degree in discipline like Informatics, Physics, Mathematics, Quantitative Methods.
At least 2 years of experience applying data-driven approaches to business scenarios, including the design and deployment of advanced analytics and machine learning algorithms.
At least 1 year of experience in delivering analytical projects with top Cloud platforms such as GCP, Azure, AWS.
Technical Skills:
Proficient in at least one of programming and query languages like Python, PySpark, SQL.
Solid understanding of machine learning and data science techniques including:
Clustering, regression, classification, forecasting
Neural networks, hyperparameter optimization
Natural Language Processing (NLP), Large Language Models (LLMs)
Other Skills:
Ability to translate complex business requirements into robust, data-driven solutions.
Strong appetite for continuous learning and skill development in emerging AI technologies.
Professional working proficiency in English.

Advanced Technical Expertise
Experience with frameworks like XGBoost, lgbm, Prophet, Hyperopt, Keras, PyTorch, TensorFlow, sklearn, LangChain, CrewAI, Open AI API, Hugging Face Transformers or Google ADK.
Experience with generative AI or agentic AI technologies
Tools & Platforms
Hands-on experience with Databricks
Familiarity with MLOps tools and practices such as MLflow, Kubeflow, or Airflow
Cloud and AI certifications such as:
Azure Data Science Associate
Azure AI Engineer
Google Cloud Professional Data Engineer
Google Cloud Data Analytics Professional
Databricks ML Professional

Permanent employment contract
Individual support from a dedicated People Lead
Personalized professional development path
Access to coaching sessions
Extensive training package including:
Soft skills, technical, and language training
E-learning platforms
Gallup strengths assessment
GenAI training
Cloud certification programs
Well-being & Support
Employee Assistance Program offering legal, financial, and psychological consultations
Private medical care and life insurance coverage
Access to the MyBenefit platform, including a wide range of products and services (e.g., Multisport card)
Perks & Incentives
Paid employee referral program
Eligibility for quarterly dividends through the Employee Share Purchase Plan (for employees who own company shares)

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