Data Scientist

2 days ago

Ahmedabad, Gujarat, India d318c5fa-34ff-4024-a0d2-941f46221a52 Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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 candidate's 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.

Communication Skills

  • Assess ability to clearly convey complex analytical and technical concepts to both technical and non-technical audiences.

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.

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