Data Scientist III

Summary

Join AccuWeather's dynamic Data Science team as a Data Scientist III and contribute to the development of groundbreaking weather-related products and services. Leverage state-of-the-art deep learning techniques and atmospheric science principles to enhance modeling frameworks and design new AI-driven approaches. You will apply your expertise to diverse topics, from weather phenomena prediction to long-range climate modeling. Responsibilities include building and training complex machine learning models, presenting model findings, assembling large datasets, and deploying models into production environments. Collaboration with internal and external stakeholders is crucial. Remote candidates in Paris are considered.

Requirements

• 3+ years of experience in applying machine learning and deep learning algorithms (CNNs, GANs, LSTMs, etc.)
• A strong Interest and passion for image processing, feature extraction, object detection and recognition, image classification, and motion analysis
• Experience with Python (especially Numpy, Pandas, and Scikit-learn) and the main deep learning frameworks (MLflow, TensorFlow, PyTorch, Keras, Jax, etc.)
• Strong background in mathematics, including statistics and optimization
• High level of critical thinking and analysis  to resolve high-impact, complex, and inter-departmental challenges effectively
• Ability to make prompt, sound decisions when faced with complex and often contradictory alternatives that result in successful outcomes
• Self-driven with strong problem-solving skills; adaptable, proactive, and willing to take ownership
• Strong verbal and written communication skills; excellent collaboration, reporting, and analytical skills

Responsibilities

• Build and train complex machine learning models leveraging AccuWeather’s extensive data archives towards the prediction of weather phenomena from severe weather, tropical, climate, and more
• Regularly present model findings and verifications along with areas of further refinement
• Assemble large, complex data sets that align with business requirements, ensuring data integrity and quality
• Perform extraction, transformation, loading, and optimization of data from various sources ensuring efficiency
• Work closely with internal and external stakeholders including the product and executive teams to meet and exceed internal and external client expectations
• Deploy machine learning and deep learning models into production environments

Preferred Qualifications

Remote candidates in Paris are being considered for this opportunity