Senior Data Scientist - Climate Modeling & Prediction

Placements24; Vereeniging; Hybride; ZAR 900 000 - 1 500 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Health benefits

Professional development

Résumé du poste

Placements24 is seeking a Senior Data Scientist to join a remote team focused on climate modeling and prediction. You will analyze vast datasets, build advanced statistical models, and create predictive tools to forecast climate change impacts.

The role requires a PhD or Master’s in a quantitative field and 5+ years of experience with time-series analysis, ML, and large environmental datasets. Strong Python or R skills and remote collaboration are essential.

Qualifications

• Advanced degree in data science, statistics, environmental science, physics, computer science, or a related field.
• Minimum 5 years of professional data science experience with time-series analysis and ML.
• Experience with large environmental or climate datasets is required.
• Proficiency in Python or R and libraries such as pandas, scikit-learn, TensorFlow, PyTorch.
• Strong data visualization skills and ability to communicate results clearly.
• Familiarity with climate models or atmospheric science is desirable.
• Excellent collaboration skills for remote teamwork.

Responsabilités

• Develop and implement advanced statistical and ML models for climate data including trends and projections.
• Process, clean, and manage large climate datasets from multiple sources.
• Design experiments to test hypotheses on climate variability and change.
• Visualize and communicate insights to technical and non-technical audiences.
• Collaborate with climate scientists to translate questions into data-driven approaches.
• Contribute to predictive tools and early warning systems for climate events.
• Stay current with advances in data science and climate modeling.
• Mentor junior data scientists in a remote environment.

Connaissances

Time-series analysis

Statistical modeling

Machine learning

Data visualization

Python

R

TensorFlow

PyTorch

Climate data

Communication

Formation

Master's or Ph.D. in a quantitative field

Outils

pandas

scikit-learn

TensorFlow

PyTorch

Description du poste

About the Role

Our client is a global leader in environmental science and climate research, dedicated to developing innovative solutions for a sustainable future. We are seeking a highly skilled Senior Data Scientist to join our **remote** team and contribute to cutting-edge climate modeling and prediction initiatives. This role is crucial for analyzing vast datasets, developing advanced statistical models, and creating predictive tools to understand and forecast climate change impacts. You will collaborate with a diverse team of climate scientists, meteorologists, and software engineers to translate complex environmental data into actionable insights. This is an excellent opportunity to make a significant contribution to environmental science from a **remote** work setup.

Key Responsibilities

• Develop and implement advanced statistical and machine learning models for analyzing climate data, including historical trends, patterns, and future projections.
• Process, clean, and manage large, complex datasets from various sources (e.g., satellite imagery, sensor networks, climate models).
• Design and execute experiments to test hypotheses related to climate variability and change.
• Visualize and communicate complex data insights and model results effectively to both technical and non-technical audiences.
• Collaborate with climate scientists to identify key research questions and translate them into data-driven approaches.
• Contribute to the development of predictive tools and early warning systems for climate-related events.
• Stay abreast of the latest advancements in data science, machine learning, and climate modeling techniques.
• Mentor junior data scientists and contribute to knowledge sharing within the team in a **remote** environment.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Environmental Science, Physics, Computer Science, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a strong focus on time-series analysis, statistical modeling, and machine learning.
• Proven experience working with large environmental or climate datasets.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Experience with data visualization tools and techniques.
• Familiarity with climate models and atmospheric science concepts is highly desirable.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills, crucial for effective teamwork in a **remote** setting.

Benefits

• Our client offers a competitive salary, comprehensive health benefits, retirement planning support, and opportunities for professional development.
• We provide a stimulating work environment focused on impactful research and encourage participation in relevant scientific conferences.
• Join our dedicated **remote** team and help us build a more sustainable future through advanced climate science.