Data Scientist

Technologies we use

Your responsibilities

• 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

Our requirements

• 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.

Optional

• 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

What we offer

• 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)

Benefits

Working Conditions: