As a Data Analyst, you will:

• Build Data Science and AI models to address key business problems in Manufacturing and Wealth Management domains.
  
• Understand key cloud aspects of AI/ML and leverage them effectively in model development.
  
• Customize algorithms based on customer unique datasets and perform refit analysis on the altering algorithm.
  
• Perform Machine Learning Model Selection & Development to choose the most appropriate algorithms for specific tasks.
  
• Conduct Data Wrangling & Preprocessing to prepare raw data for modeling.
  
• Evaluate and improve models through Model Evaluation & Improvement techniques.
  
• Deploy models into production environments and monitor their performance.
  
• Communicate complex ideas clearly to stakeholders.
  
• Collaborate effectively with team members and stakeholders.
  
• Continuously learn and stay up-to-date with developments in the field.
  

Requirements

• Minimum of 5+ years of experience in data science and AI model development.
  
• ​Programming proficiency in Python, OR potentially Java/Scala.
  
• Expertise in data wrangling, cleaning, and modeling.
  
• Strong understanding of machine learning algorithms and model building
  
• Familiarity with big data frameworks such as Hadoop and Spark
  
• Experience in AI deployment and DevOps practices.
  
• Knowledge of cloud-based AI/ML services.
  
• Deep understanding of ML algorithms is desirable.