Data Science Developer

Job Overview:

As a Data Science Developer, you will collaborate with data engineers, analysts, and business stakeholders to develop machine learning models, predictive analytics, and data pipelines. You will work on end-to-end data science solutions, from data collection and preprocessing to model deployment and visualization.

Key Responsibilities:

• Design, develop, and deploy machine learning and statistical models.
  
• Collect, clean, and preprocess large datasets from multiple sources.
  
• Develop and maintain data pipelines for efficient data processing.
  
• Collaborate with cross-functional teams to define business requirements and translate them into data-driven solutions.
  
• Conduct exploratory data analysis to uncover trends, patterns, and insights.
  
• Build dashboards, visualizations, and reports to communicate findings effectively.
  
• Optimize models for performance, accuracy, and scalability.
  
• Stay updated with the latest data science tools, techniques, and industry trends.

Preferred Qualifications:

• Experience with cloud platforms (AWS, Azure, Google Cloud) and big data tools (Hadoop, Spark).
  
• Knowledge of natural language processing (NLP), computer vision, or advanced AI techniques.
  
• Familiarity with containerization and orchestration (Docker, Kubernetes).
  
• Exposure to CI/CD pipelines for model deployment.
  
• Understanding of Agile/Scrum development methodologies.