Facilities Operations & Energy Management Lead

The Luxury Collection; Indonesia; Remote; IDR 400,000,000 - 650,000,000; Full time

Benefits offered by this job

100% Remote work

Stock options

Flexible working hours

Home office allowance

Health insurance

Job summary

The Luxury Collection is seeking a Lead Data Scientist with energy analytics expertise to join our innovative team in a fully remote capacity. You will guide a team, develop advanced models for energy production, consumption, and market trends, and shape the data strategy for the organization.

Responsibilities include mentoring junior data scientists, communicating findings to stakeholders, and driving data-driven innovation across functions.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• 10+ years of professional experience in data science, with at least 3 years in a lead or management role.
• Proven expertise in energy analytics, including predictive modelling, time-series analysis, and forecasting.
• Strong proficiency in Python or R, and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies and cloud platforms (AWS, Azure, GCP).

Responsibilities

• Lead the design, development, and deployment of machine learning models and analyses for energy data.
• Mentor and guide a team of data scientists, fostering a collaborative environment.
• Define and champion the data science roadmap and strategy in alignment with business objectives.
• Collaborate with engineers, product managers, and stakeholders to identify opportunities for data-driven innovation.
• Develop and present insights to senior leadership based on complex data analysis.
• Ensure the quality, scalability, and robustness of deployed data science solutions.

Skills

Energy analytics

Machine learning

Python

R

Leadership

Communication

Education

Master's or Ph.D. in Data Science, Statistics, Computer Science

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Job description

Lead Data Scientist - Energy Analytics (Remote)

Our client is looking for a highly analytical and innovative Lead Data Scientist to spearhead their energy analytics initiatives, operating in a fully remote capacity. This role involves developing sophisticated data models and algorithms to derive actionable insights from vast datasets related to energy production, consumption, and market trends. You will lead a team of data scientists, driving the strategic use of data to optimize operations, enhance efficiency, and identify new opportunities within the energy sector. This is a prime opportunity to shape the data-driven future of a leading energy company from anywhere in the world.

About the Role

Our client is looking for a highly analytical and innovative Lead Data Scientist to spearhead their energy analytics initiatives, operating in a fully remote capacity. This role involves developing sophisticated data models and algorithms to derive actionable insights from vast datasets related to energy production, consumption, and market trends. You will lead a team of data scientists, driving the strategic use of data to optimize operations, enhance efficiency, and identify new opportunities within the energy sector. This is a prime opportunity to shape the data-driven future of a leading energy company from anywhere in the world.

Key Responsibilities

• Lead the design, development, and deployment of machine learning models and statistical analyses for energy data.
• Mentor and guide a team of data scientists, fostering a collaborative and innovative environment.
• Identify key business questions and develop data-driven approaches to answer them.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Collaborate with engineering and operations teams to integrate data science solutions into business processes.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• 8+ years of professional experience in data science, with a focus on energy analytics or related domains.
• Proven experience leading data science projects and mentoring junior team members.
• Expertise in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical modeling, machine learning algorithms, and data visualization techniques.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working hours.
• Professional development budget for conferences and training.
• Opportunity to work on cutting-edge projects impacting the global energy landscape.

Remote Lead Data Scientist - Energy Analytics

Our client is seeking a highly accomplished Lead Data Scientist with expertise in Energy Analytics to join their innovative team, operating in a fully remote capacity. This leadership role will drive the development and implementation of advanced analytical models and machine learning solutions to extract valuable insights from complex energy datasets. You will guide a team of data scientists, shape the data strategy, and collaborate with stakeholders across the business to leverage data for optimizing operations, predicting market trends, and developing new energy solutions, contributing to the company's strategic data-driven initiatives without geographical constraints.

About the Role

Our client is seeking a highly accomplished Lead Data Scientist with expertise in Energy Analytics to join their innovative team, operating in a fully remote capacity. This leadership role will drive the development and implementation of advanced analytical models and machine learning solutions to extract valuable insights from complex energy datasets. You will guide a team of data scientists, shape the data strategy, and collaborate with stakeholders across the business to leverage data for optimizing operations, predicting market trends, and developing new energy solutions, contributing to the company's strategic data-driven initiatives without geographical constraints.

Key Responsibilities

• Lead the design, development, and deployment of sophisticated machine learning models and analytical solutions for energy-related challenges.
• Mentor and guide a team of data scientists, fostering a collaborative and high-performing environment.
• Define and champion the data science roadmap and strategy in alignment with business objectives.
• Collaborate with engineers, product managers, and business stakeholders to identify opportunities for data-driven innovation.
• Develop and present insights and recommendations to senior leadership based on complex data analysis.
• Ensure the quality, scalability, and robustness of deployed data science solutions.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• 10+ years of professional experience in data science, with at least 3 years in a lead or management role.
• Proven expertise in energy analytics, including predictive modelling, time-series analysis, and forecasting.
• Strong proficiency in programming languages such as Python or R, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent leadership, communication, and strategic thinking abilities.

Benefits

• Highly competitive salary and stock options.
• 100% Remote work opportunity with flexible working hours.
• Comprehensive health, dental, and vision insurance.
• Generous allowance for home office setup and professional development.
• Be at the forefront of innovation in energy analytics field.