Strategic Fleet Performance & Analytics Lead
Pt Anugerah Lestari Sejahtera
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Benefits offered by this job
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
Education
Tools
Job description
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.
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.
- 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.
- 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.
- 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.
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.
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.
- 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.
- 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.
- 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.
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