Remote Lead Data Scientist – Energy Analytics

Pt Anugerah Lestari Sejahtera; Indonesia; Remote; IDR 400,000,000 - 700,000,000; Full time

Benefits offered by this job

Stock options

Global health insurance

Remote work setup budget

Flexible working hours

Job summary

Pt Anugerah Lestari Sejahtera is seeking a Remote Lead Data Scientist to spearhead energy analytics initiatives. You will lead a globally distributed team, design advanced ML models for forecasting and optimization, and translate data insights into strategic actions.

The role emphasizes collaboration with engineering and operations while maintaining robust data pipelines. The ideal candidate has 8+ years in data science within energy, strong Python/R skills, and experience with TensorFlow,

Qualifications

• Advanced degree in data science, statistics, CS or related field.
• 8+ years of professional data science experience in energy analytics or related domains.
• Proven leadership of data science projects and mentoring.
• Expertise in Python or R and ML libraries.
• Strong modeling, ML, and data visualization skills.

Responsibilities

• Lead development and deployment of energy-focused ML models and analyses.
• Mentor data scientists and foster an innovative team culture.
• Define and solve key business questions using data-driven approaches.
• Communicate findings clearly to technical and non-technical stakeholders.
• Collaborate with engineering/ops to integrate data science solutions.
• Maintain documentation for models and methodologies.

Skills

Energy analytics

Team leadership

Python/R

Machine learning

Data visualization

Education

Master's or PhD in a quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

Job description

Pt Anugerah Lestari Sejahtera is seeking a Remote Lead Data Scientist to spearhead energy analytics initiatives. You will lead a globally distributed team, design advanced ML models for forecasting and optimization, and translate data insights into strategic actions.

The role emphasizes collaboration with engineering and operations while maintaining robust data pipelines. The ideal candidate has 8+ years in data science within energy, strong Python/R skills, and experience with TensorFlow,