Data Scientist - Junior/Mid/Senior

What you will do

• 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.

What we offer

Career Development:

• 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)

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.

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.

Bonus Points If You Have:

• 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