(USA) Senior, Data Scientist

What you'll do

• Develop scalable time series forecasting systems using advanced models like Temporal Fusion Transformers and N-BEATS.
• Apply generative AI to synthesize time series data and build intelligent NLP-based assistants for analytics enablement.
• Design and train large-scale neural networks for anomaly detection, causal inference, and deployment via automated batch pipelines.
• Build production-ready applications on cloud platforms integrated with internal systems to deliver insights at scale.
• Mentor team members and ensure alignment with data governance and quality standards.

What we're looking for

• Proficient in time series forecasting and deep learning with experience in transformer-based neural networks.
• Strong coding skills in Python, SQL, PyTorch, TensorFlow/Keras, Scikit-learn, and statsmodels.
• Experience in designing and deploying large-scale neural networks for time series analysis and anomaly detection.
• Ability to develop scalable data-driven solutions using advanced regression techniques and generative AI.
• Expertise in building production-ready applications on cloud platforms with automated batch pipelines.
• Demonstrated ability to work on GPU-based model training pipelines and manage experimentation at scale.