Lead Data Scientist

Michael Page


Date: 6 days ago
City: Petaling Jaya
Contract type: Full time
  • Work with a renowned manufacturing leader committed to redefining Analytics
  • Market Leading MNC with superb benefits & remuneration package


About Our Client

We are partnering with a global leader in automotive technology, renowned for its innovation and commitment to shaping the future of mobility.

Job Description

  • Analyze complex datasets to extract meaningful insights and support decision-making processes.
  • Design and deploy machine learning models to solve business challenges.
  • Collaborate with cross-functional teams to align data initiatives with company goals.
  • Ensure data accuracy and integrity through robust data governance practices.
  • Provide mentorship and training to junior data scientists within the team.
  • Stay updated on industry trends and emerging technologies to enhance data science capabilities.
  • Prepare and present analytical findings to stakeholders in a clear and actionable manner.


The Successful Applicant

A Successful Data Scientist Manager Should Have

  • Strong educational background in data science, computer science, statistics, or a related field.
  • Proven expertise in data science methodologies and tools.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Knowledge of machine learning techniques and their practical applications in industrial and manufacturing processes.
  • Excellent problem-solving skills and the ability to work collaboratively with diverse teams.


What's on Offer

  • Competitive annual salary ranging from MYR 180,000 to MYR 240,000.
  • Attractive performance bonuses and allowances.
  • Opportunity to lead a team within a large organization in the industrial and manufacturing industry.
  • Work in a challenging and rewarding environment in Malaysia.


If you are ready to take the next step in your career as a Lead Data Scientist, apply now to join this exciting opportunity in the industrial and manufacturing sector.

Contact: J-Shan Loke

Quote job ref: JN-112025-6893666

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