Lead Data Scientist – Energy & Resources: Drive Impact

Michael Page; Indonesia; On-site; IDR 223,200,000 - 334,800,000; Full time

Benefits offered by this job

Opportunities for professional growth

Collaborative and supportive company culture

Job summary

A leading organisation in the energy sector seeks a Lead Data Scientist in Indonesia. This role involves developing advanced data analytics models and deploying machine learning algorithms to optimize operational efficiency. The ideal candidate should have a strong academic background in data science and proven expertise in machine learning. Successful applicants will enjoy a collaborative culture that values innovation and offers opportunities for professional development. A strong ability to communicate complex data insights clearly is essential.

Qualifications

• Strong academic background in relevant fields.
• Proven expertise in machine learning and statistical modelling.
• Experience managing and mentoring data science teams.
• Proficient in Python, R, or SQL.
• Familiarity with data visualisation tools.
• Excellent problem-solving and analytical skills.
• Strong communication skills for presenting insights.

Responsibilities

• Develop and implement advanced data analytics models.
• Collaborate with teams for data-driven decision-making.
• Design and deploy machine learning algorithms.
• Provide technical guidance and mentorship.
• Communicate findings to stakeholders.
• Ensure data quality and compliance.
• Stay updated on emerging technologies.

Skills

Machine learning

Statistical modelling

Predictive analytics

Problem-solving

Analytical skills

Communication skills

Education

Background in data science, computer science, or mathematics

Tools

Python

R

SQL

Job description

A leading organisation in the energy sector seeks a Lead Data Scientist in Indonesia. This role involves developing advanced data analytics models and deploying machine learning algorithms to optimize operational efficiency. The ideal candidate should have a strong academic background in data science and proven expertise in machine learning. Successful applicants will enjoy a collaborative culture that values innovation and offers opportunities for professional development. A strong ability to communicate complex data insights clearly is essential.