Senior Data Scientist, Tree.ly

• This role is ideal for a technical expert passionate about applying sophisticated data science techniques to solve complex, time-sensitive, and spatially aware challenges
• Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
• 4+ years of experience in data science, with hands-on expertise in the training, optimizing and evaluating AI-powered models
• Proficiency in TensorFlow and/or PyTorch for building and deploying deep neural networks
• Experience with large language models (e.g., BERT, or custom implementations) and their applications
• Strong skills in Python and libraries such as NumPy, pandas, and scikit-learn for data manipulation and modeling
• Hands-on experience in modeling temporal data (e.g., time-series analysis, sequential modeling)
• Solid understanding of statistical modeling, multi-objective optimization techniques, and neural network architectures

Desirable

• We are seeking a highly skilled Senior Data Scientist to join our team
• The successful candidate will design and implement advanced analytical models, leveraging geospatial and temporal data, with a focus on multi-objective optimization, simulations, and large language models (LLMs)
• Develop and deploy machine learning models, emphasizing simulations and AI-powered recommender systems, to tackle business and research challenges
• Analyze geospatial data to uncover spatial trends and relationships, integrating temporal data for dynamic, real-world insights
• Model temporal data for applications like forecasting, trend detection, using techniques such as LSTMs or transformers
• Extract meaningful patterns from large, complex datasets using statistical methods and advanced data processing techniques
• Train and optimize models (e.g., transformers, classifiers, encoders, LLMs) using TensorFlow or PyTorch to enhance AI solutions. Fine-tune LLMs for tasks like text generation, classification, or semantic analysis
• Collaborate with engineering teams to deploy scalable models into production environments