Remote Lead Data Scientist - Energy Analytics

About the Role

Our client is seeking an exceptional Lead Data Scientist with a focus on energy analytics to join their fully remote team, supporting initiatives across South Africa, including operations related to Bloemfontein . You will lead a team of data scientists and analysts in developing sophisticated predictive models, optimizing energy consumption, and uncovering insights from vast datasets. This role is instrumental in driving data-informed decision-making across the organization, enhancing efficiency, and advancing our renewable energy strategies. As a remote leader, you will foster a collaborative virtual environment, championing innovation and best practices in data science.

Key Responsibilities

• Lead the development and deployment of machine learning models for energy forecasting , demand response, and grid optimization.
• Mentor and manage a team of data scientists, providing technical guidance and fostering professional growth.
• Collaborate with engineering, product, and business teams to define analytical problems and translate business needs into data science solutions.
• Design and implement robust data pipelines and feature engineering processes for large-scale energy datasets .
• Stay current with cutting-edge techniques in machine learning, AI, and energy analytics , and advocate for their adoption.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.

Requirements

• PhD or Master's degree in Data Science, Computer Science, Statistics, Physics, or a related quantitative field.
• 10+ years of experience in data science and machine learning, with at least 4 years in a lead or management role .
• Proven expertise in building and deploying ML models for time-series analysis, forecasting, and optimization in the energy sector .
• Strong proficiency in Python or R, along with experience in SQL and big data technologies (e.g., Spark, Hadoop).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Exceptional problem-solving, communication, and leadership skills.

Benefits

• Highly competitive salary and bonus structure.
• Fully remote work arrangement with flexible hours.
• Comprehensive health and wellness benefits.
• Generous budget for professional development, conferences, and training.
• Opportunity to shape the future of data-driven energy solutions .