Remote Senior Data Scientist - Energy Analytics

Placements24; LegKraal Gate; Hybrid; ZAR 2,160,000 - 3,157,000; Full time

Benefits offered by this job

Highly competitive salary

Performance-based bonuses

Health, dental, and vision insurance

Remote work stipend

Flexible hours

Unlimited PTO

Retirement savings plan with company 4

Professional development and конференс

Job summary

Placements24 is seeking a Senior Data Scientist to join its fully remote team. You will design, implement, and deploy ML models for energy-related datasets, forecast demand, detect anomalies, and drive data-driven decision making across global markets.

The role requires a PhD or Master’s in a quantitative field, 6+ years of hands-on experience, proficiency in Python or R, and experience with Spark, TensorFlow, and cloud platforms.

Qualifications

• Ph.D. or Master’s in a quantitative field such as Data Science, CS, Statistics, Math or Physics.
• Minimum 6 years hands-on data science with ML model deployment experience.
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow, PyTorch, Pandas, NumPy.
• Strong statistical modeling and machine learning knowledge; time-series is a plus.
• Experience with large datasets and distributed computing (Spark).
• Knowledge of energy sector domains is desirable; strong communication and remote collaboration skills.
• Experience with cloud platforms and MLOps is a plus.

Responsibilities

• Design, develop, and deploy ML models for energy datasets.
• Extract, clean, and transform large structured and unstructured data.
• Develop predictive models for consumption, generation, pricing, and failures.
• Create data visualizations and dashboards for technical and non-technical audiences.
• Collaborate with domain experts to translate business needs into data problems.
• Mentor junior data scientists and contribute to technical growth.
• Evaluate new tools and technologies to enhance workflows.
• Ensure data quality, model accuracy, and ethical considerations.

Skills

Python

R

Statistical modeling

ML algorithms

Spark

Big data

Education

Ph.D. in Data Science

Master's in CS/Math/Stats

Tools

Pandas

NumPy

scikit-learn

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

About the Role

Our client, a leader in leveraging data for energy innovation, is seeking a highly skilled Senior Data Scientist to join their fully remote team. This position is crucial for unlocking insights from vast datasets related to energy generation, consumption, grid performance, and market dynamics. You will be responsible for developing advanced analytical models, machine learning algorithms, and predictive tools to optimize energy systems, forecast demand, identify anomalies, and support strategic decision-making. This is a fully remote role, empowering you to contribute from anywhere while collaborating closely with a globally distributed team of data scientists, engineers, and energy experts. The ideal candidate possesses a strong background in statistical modeling, machine learning, and a deep understanding of the energy sector's unique challenges and opportunities. We are looking for an individual who is passionate about applying data science to solve complex problems and drive the future of energy. Your work will have a direct impact on efficiency, sustainability, and the reliability of energy infrastructure.

Key Responsibilities

• Design, develop, and deploy sophisticated machine learning models and statistical analyses for energy-related datasets.
• Extract, clean, and transform large volumes of structured and unstructured data from various sources.
• Develop predictive models for energy consumption, generation, pricing, and equipment failure.
• Create data visualizations and dashboards to communicate complex findings to technical and non-technical audiences.
• Collaborate with domain experts to understand business needs and translate them into data science problems.
• Identify opportunities for leveraging data analytics to improve operational efficiency, reduce costs, and enhance sustainability.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's technical growth.
• Evaluate and implement new tools and technologies to enhance the data science workflow.
• Ensure data quality, model accuracy, and ethical considerations in all analytical work.

Requirements

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 6 years of hands‑on experience in data science, with a proven track record of building and deploying ML models.
• Expertise in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, time series analysis, deep learning).
• Experience working with large datasets and distributed computing frameworks (e.g., Spark).
• Knowledge of the energy sector (generation, transmission, distribution, markets) is highly desirable.
• Excellent problem‑solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote, cross‑functional team.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps is a plus.

Benefits

• Highly competitive salary and performance‑based bonuses.
• Comprehensive benefits package including health, dental, and vision insurance.
• Generous remote work stipend and home office support.
• Flexible working hours and unlimited PTO.
• 401(k) or equivalent retirement savings plan with company match.
• Opportunities for professional development, including advanced training and conference attendance.
• Chance to work on cutting‑edge projects that impact the global energy landscape.
• A dynamic, innovative, and fully remote work culture.