Senior Product & Performance Analytics Lead

Ilmuone Data; Jawa Barat; Remote; IDR 2,477,438,000 - 3,716,156,000; Full time

Benefits offered by this job

Stock options

Fully remote work

Health, dental, vision insurance

Home office setup allowance

Professional development budget

Job summary

Ilmuone Data is seeking a highly experienced Lead Data Scientist to spearhead energy analytics initiatives. The role is fully remote and international, guiding a team of data scientists, developing advanced models, and driving a data-driven strategy across the business.

You will collaborate with engineering, product, and leadership to optimize operations and forecast market trends. This leadership position requires a strong background in energy analytics, extensive experience in data science,

Qualifications

• Master’s or Ph.D. in Data Science, Statistics, CS, or related quantitative field.
• 10+ years of professional experience in data science, with focus on energy analytics.
• Proven leadership experience mentoring junior team members.
• Proficiency in Python or R and ML libraries like TensorFlow, PyTorch, Scikit-learn.
• Experience with big data technologies and cloud platforms (AWS/Azure/GCP).

Responsibilities

• Lead design, development, and deployment of ML models and analytics for energy data.
• Mentor and guide a team of data scientists.
• Define and drive the data science roadmap aligned with business goals.
• Collaborate with engineers, PMs, and stakeholders to identify opportunities for data-driven innovation.
• Develop and present insights to senior leadership.

Skills

Energy analytics

Leadership

Communication

Python or R

Education

Master’s/PhD in Data Science

Tools

Python

R

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 modeling, 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 the energy analytics field.