5 days ago
🇺🇸 United States – Remote
🔔 Pennsylvania – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
• Explore and enhance our modeling frameworks, leveraging state-of-the-art deep learning techniques and atmospheric science principles • Design and develop new AI-driven approaches and implement them at scale in production to ensure robustness and scalability • Apply your expertise to diverse topics, from weather phenomena prediction to long-range climate modeling, among others • Actively contribute to the team’s daily operations, effectively communication your progress and findings to both technical and non-technical stakeholders • Take on team lead responsibilities by guiding and mentoring team members, fostering a collaborating environment and ensuring successful execution of team initiatives • 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
• 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
Apply NowDecember 24, 2024
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