Market Growth & Sales Analytics Lead

Pt Sasa Inti; Tegal; Remote; IDR 500,000,000 - 900,000,000; Full time

Benefits offered by this job

Stock options

Health insurance

Home office stipend

Unlimited PTO

Job summary

Pt Sasa Inti, a global energy analytics leader, is seeking a Remote Lead Data Scientist to guide advanced ML initiatives and lead a distributed team. The role focuses on energy forecasting, consumption prediction, anomaly detection, and translating complex data insights into actionable strategies.

You will design scalable models, build robust data pipelines, and mentor colleagues across continents in a collaborative, innovation-driven environment.

Qualifications

• PhD or Master's in Data Science, Statistics, CS, or related quantitative field.
• 8+ years in data science with proven energy sector track record.
• Expertise in ML algorithms and statistical modeling.
• Proficiency in Python or R and libraries like TensorFlow, PyTorch, scikit-learn.
• Experience with Spark, Hadoop and cloud platforms (AWS/Azure/GCP).
• Strong leadership and team-management experience.

Responsibilities

• Lead ML model development for energy forecasting, consumption prediction, and anomaly detection.
• Design and implement data pipelines for collecting, cleaning, and processing large energy datasets.
• Collaborate with stakeholders across engineering, operations, and business units to identify analytical opportunities and define project requirements.
• Mentor junior data scientists and foster a culture of continuous learning and technical excellence.
• Develop and maintain documentation for models, algorithms, and methodologies.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.

Skills

Python

R

TensorFlow

PyTorch

scikit-learn

Time series

Machine learning

Leadership

Education

PhD or Master’s in Data Science

Statistics or CS background

Tools

Spark

Hadoop

AWS

Azure

GCP

Job description

Remote Lead Data Scientist - Energy Analytics

Our client is seeking a visionary Remote Lead Data Scientist specializing in Energy Analytics to join their globally distributed team. This role is central to driving data-informed decision-making across our client's energy operations, leveraging advanced machine learning and statistical modeling. You will lead a team of data scientists, design and implement cutting-edge analytical solutions, and translate complex data insights into actionable strategies. This is a fully remote opportunity for a seasoned professional who thrives in a collaborative, innovation-driven environment, shaping the future of energy through data.

About the Role

Our client is seeking a visionary Remote Lead Data Scientist specializing in Energy Analytics to join their globally distributed team. This role is central to driving data-informed decision-making across our client's energy operations, leveraging advanced machine learning and statistical modeling. You will lead a team of data scientists, design and implement cutting-edge analytical solutions, and translate complex data insights into actionable strategies. This is a fully remote opportunity for a seasoned professional who thrives in a collaborative, innovation-driven environment, shaping the future of energy through data.

Key Responsibilities

• Lead the development and deployment of advanced machine learning models for energy forecasting, consumption prediction, and anomaly detection.
• Design and implement data pipelines for collecting, cleaning, and processing large datasets from various energy sources.
• Collaborate with stakeholders across engineering, operations, and business units to identify analytical opportunities and define project requirements.
• Mentor and guide junior data scientists, fostering a culture of continuous learning and technical excellence.
• Develop and maintain comprehensive documentation for models, algorithms, and methodologies.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.

Requirements

• PhD or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• 8+ years of professional experience in data science, with a proven track record in the energy sector.
• Expertise in machine learning algorithms (e.g., regression, classification, time series forecasting, deep learning) and statistical modeling.
• Proficiency in programming languages like Python or R, and experience with libraries such as TensorFlow, PyTorch, scikit-learn.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong leadership skills and experience managing data science projects and teams.

Benefits

• Highly competitive salary and stock options.
• Comprehensive global health insurance.
• Generous home office stipend and remote work setup budget.
• Unlimited paid time off and flexible working hours.
• Opportunity to work on groundbreaking projects that impact the global energy landscape from anywhere in the world.