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Cloud Data Scientist

2 months ago


Mumbai, Maharashtra, India Cloud Counselage Pvt Ltd Full time

Cloud Data Scientist Role Description

We are seeking a talented Cloud Data Scientist to help us drive business growth through data-driven insights. As a key member of our team, you will be responsible for developing and implementing machine learning models to solve complex business problems.

  • Collaborate with cross-functional teams to understand project requirements and design data-driven solutions
  • Develop, test, and deploy machine learning models and algorithms using cloud-based platforms
  • Pre-process data, perform feature engineering, and explore data to identify patterns and insights
  • Evaluate model performance, troubleshoot issues, and optimize algorithms for scalability and efficiency
  • Stay updated with the latest cloud-based machine learning techniques, tools, and technologies
  • Document code, processes, and results thoroughly for reproducibility and knowledge sharing
  • Assist in integrating data models into production systems and workflows
  • Participate in code reviews, team meetings, and brainstorming sessions to contribute ideas and improvements

Mandatory Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field
  • 1-2 years of experience in machine learning or data science
  • Solid understanding of machine learning fundamentals and algorithms such as regression, classification, clustering, and neural networks
  • Proficiency in programming languages such as Python, R, or Java, with experience in libraries like TensorFlow, PyTorch, scikit-learn, or Keras
  • Experience with data manipulation, visualization, and analysis using tools like pandas, NumPy, or matplotlib
  • Familiarity with version control systems like Git and collaborative development workflows

Preferred Qualifications:

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud
  • Knowledge of big data technologies like Hadoop, Spark, or Kafka
  • Understanding of software engineering principles and practices
  • Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes
  • Experience with deep learning frameworks and architectures
  • Contributions to open-source projects or participation in machine learning competitions

Qualities:

  • Strong problem-solving skills and attention to detail
  • Excellent communication and teamwork abilities

Location: Onsite, Remote, Hybrid