Remote Data Scientist

Description:

• OREDATA is seeking a Data Scientist to join their team and work on digital, operational, analytical, and data science challenges.
• Responsibilities include applying machine learning techniques to analyze large datasets, developing predictive models and algorithms, performing data cleaning and preprocessing tasks, collaborating with product and engineering teams, and effectively communicating technical concepts.
• The ideal candidate will have a Bachelor's degree in Computer Engineering/Science, Software Engineering, Statistics/Maths, or equivalent practical experience.
• A minimum of 5+ years of data science experience is required, along with expertise in Kubeflow, Cross-Sell, Customer data related analysis modeling, MLOps concepts, and developing projects on on-premise and cloud ML platforms.
• Proficiency in Python programming, machine learning libraries (such as TensorFlow, Scikit-learn, PyTorch), big data environments (Hadoop, Spark, Hive), strong analytical and problem-solving skills, and excellent communication and collaboration abilities are essential for this role.

Requirements:

• Bachelor's degree in Computer Engineering/Science, Software Engineering, Statistics/Maths, or equivalent practical experience.
• Minimum 5+ years of data science experience.
• Experienced in Kubeflow.
• Experienced in Cross-Sell, Customer data related analysis modeling.
• Knowledge of MLOps concepts.
• Experience in developing projects on on-premise and cloud ML platforms.
• Proficiency in Python programming.
• Deep knowledge of machine learning libraries (such as TensorFlow, Scikit-learn, PyTorch, etc.).
• Familiarity with big data environments (Hadoop, Spark, Hive, etc.).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

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.
• Opportunity to work on international projects.
• Opportunity to support your English.
• Private Health Insurance.
• Birthday Leave Policy.