Data Scientist

Overview

Core Responsibilities :

• Perform advanced statistical analysis and develop machine learning models.
• Collaborate closely with analytics teams, including data engineers and senior data scientists.
  
  

• Strong command of Python is essential; knowledge of SQL is highly preferred.
• Experience working with large database systems such as MS SQL Server, or Oracle is valued.
  
  

• Minimum of three years experience in analytics roles.
• Direct involvement in at least one or two domains such as Manufacturing, Commercial, Procurement, R&D, HR, or Finance.
  
  

• Emphasis on addressing analytics challenges in manufacturing, including optimizing processes and predictive maintenance.
  
  

• Develop and implement analytics solutions to enhance manufacturing efficiency, streamline processes, and lower costs.
  
  

• Lead small teams of associate data scientists and mentor junior colleagues.
• Promote a culture of knowledge sharing and continuous learning within the team.
  
  

• Evaluate the candidates expertise in Python and SQL.
• Assess experience with large database systems and ability to develop statistical and machine learning models.
  
  

• Review hands-on experience in resolving analytics issues in manufacturing, such as process optimization and predictive Skills :
• Examine ability to perform advanced statistical analysis, create models using various learning techniques, and break down complex problems into manageable components.
  
  

• Assess ability to clearly convey complex analytical and technical concepts to both technical and non-technical Leadership and Collaboration :
• Evaluate experience in leading small teams, working with senior data scientists, and collaborating effectively in agile, multi-stakeholder environments.
  
  

• Look for evidence of mentoring junior team members, promoting knowledge sharing, and fostering a culture of ongoing learning and innovation.
  
  

(ref:hirist.tech)