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Description:
Lead the collection, cleaning, and organization of large, complex datasets from multiple sources.
Analyze and interpret data using advanced statistical techniques and machine learning algorithms.
Develop and implement predictive models to identify patterns, trends, and actionable insights.
Present complex findings and data-driven recommendations to stakeholders in a clear and concise manner.
Collaborate with cross-functional teams to solve business challenges through data-driven solutions.
Drive innovation in data science methodologies and tools within the organization.
Requirements:
Bachelor's Degree in Computer Engineering/Science, Electrical & Electronics Engineering, or equivalent practical experience.
Minimum 5 years of professional work experience as a Data Scientist is required.
Willingness to learn more about new languages and frameworks.
Experience in Python.
Creative and innovative problem-solving skills.
Good team player, result-oriented attitude, and analytical mind.
Advanced level of English is a must.
No military obligation for male candidates for at least 2 years.
Benefits:
Remote working and flexible time off.
Open communication, flexibility, and start-up spirit.
Learning & Development opportunities for both personal and professional growth.
Opportunity to get company-paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc).
Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.).
Dynamic work ecosystem where you can take initiative and responsibility.