Senior Data Scientist

Main Responsibilities:

• Develop and implement machine learning models to address complex business challenges.
• Design and deploy end-to-end ML solutions, including data preprocessing, feature engineering, model development, and evaluation.
• Work with large-scale datasets, performing data wrangling, transformation, and optimization.
• Collaborate with cross-functional teams to integrate AI-driven solutions into business processes.
• Utilize cloud platforms (AWS, Azure, GCP) and MLOps practices for scalable model deployment.
• Communicate technical findings and insights effectively to non-technical stakeholders.
• Stay updated on advancements in AI, machine learning, and data science to drive innovation.

Requirements

• 5+ years of experience in Data Science, with a strong track record in applying ML techniques to real-world problems.
• Proficiency in Python and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistics, probability, and mathematical modeling.
• Experience with cloud platforms (AWS, Azure, GCP) and deploying ML solutions at scale.
• Strong problem-solving and analytical skills, with the ability to create innovative AI solutions.
• Excellent communication skills, with the ability to convey technical concepts to diverse audiences.
• Fluent in English (both written and spoken)

Benefits

• Solid, competitive salary.
• Work in multilingual, multinational and multicultural environment on international projects
• Medical care