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) :

- Lead small teams of associate data scientists and mentor junior colleagues.

- Promote a culture of knowledge sharing and continuous learning within the team.

Key Interview Areas for Data Scientist Candidates :

Technical Proficiency :

- 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 maintenance.

Problem-Solving Skills :

- Examine ability to perform advanced statistical analysis, create models using various learning techniques, and break down complex problems into manageable components.

Team Leadership and Collaboration :

- Evaluate experience in leading small teams, working with senior data scientists, and collaborating effectively in agile, multi-stakeholder environments.

Capability Building :

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