Sr Data Scientist

• Strong experience of BI systems, Power BI, Qlik Sense, etc. - need to solve business challenges with these types of tools
  

• Collecting, cleaning, and exploring data from various sources and formats
  
• Applying statistical and machine learning methods to extract insights and patterns from data
  
• Build automated data pipelines and deploy to production with CI/CD
  
• Presenting and visualizing data and results to stakeholders and clients
  
• Evaluating and improving the performance and scalability of machine learning systems
  
• Deploying and maintaining machine learning systems in production environments
  
• Developing and testing machine learning models and algorithms for various applications and domains
  

Requirements

• Data Science knowledge – Practical experience delivering/driving large data prediction-based projects, advanced analytics, machine learning projects in a production environment
  
• Must have examples of business projects implemented, how they were able to solve business challenges, and illustrate outcome for the business
  
• Experience taking data from analysts and implement advanced techniques to do modeling to create BI dashboards, create playbooks, and help to implement into production environment