Senior Data Scientist - Renewable Energy

Placements24; Mossel Bay; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Bonuses

Remote work

Health insurance

Paid time off

Development stipend

Job summary

Placements24 is seeking a Senior Data Scientist to drive insights within renewable energy initiatives, working fully remotely. You will leverage large datasets to optimize energy generation, predict performance, and identify opportunities for sustainable power solutions.

You will collaborate with engineers, data analysts, and business stakeholders to translate complex data into actionable strategies, communicating findings through visualizations and reports.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field.
• 5+ years of professional data science experience focusing on ML and modeling.
• Proficiency in Python or R and data science libraries.

Responsibilities

• Develop and deploy ML models for energy production forecasting and anomaly detection.
• Analyze large weather, grid, and energy consumption datasets.
• Design experiments and A/B tests to assess model performance and business impact.
• Communicate findings with visualizations and reports to technical and non-technical stakeholders.
• Collaborate with cross-functional teams to drive data-driven decisions in renewable energy projects.

Skills

Python

R

Machine learning

Data analysis

Communication

Education

Master's or PhD in CS/Statistics/Math

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Job description

About the Role

Our client is seeking a talented and innovative Senior Data Scientist to drive insights within their renewable energy initiatives, working remotely. This role is key to leveraging vast datasets to optimize renewable energy generation, predict performance, and identify new opportunities for sustainable power solutions. You will collaborate with engineers, data analysts, and business stakeholders to translate complex data into actionable strategies, contributing to a greener energy future. This is an exciting opportunity for a data expert passionate about making a tangible impact in the renewable energy sector.

Key Responsibilities

• Develop and deploy machine learning models for energy production forecasting, anomaly detection, and predictive maintenance.
• Analyze large, complex datasets related to weather patterns, grid performance, and energy consumption.
• Design and implement A/B tests and other experiments to evaluate model performance and business impact.
• Communicate complex findings and insights to both technical and non-technical audiences through compelling visualizations and reports.
• Collaborate with cross-functional teams to define data requirements and drive data-driven decision-making in renewable energy projects.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science, with a focus on machine learning and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark).
• Strong understanding of the renewable energy sector is a significant advantage.

Benefits

• Competitive salary and performance-based bonuses.
• Fully remote work environment with flexibility in working hours.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and a yearly professional development stipend.
• Opportunity to work on cutting-edge projects in the rapidly growing renewable energy sector.