Data Scientist

Description

Core Responsibilities :

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

Technical Skills

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.

Professional Experience

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.

Manufacturing Analytics

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

Process Optimization

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

Capability Building (For Senior DSs, If Any)

Technical Proficiency

Key Interview Areas for Data Scientist Candidates :

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

Manufacturing Analytics Experience

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.

Communication Skills

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.

Capability Building