Full-Time Data Scientist, Innovation Lab - Remote

• Craft advanced machine learning analytical solutions from diverse data sources.
• Apply machine learning, deep learning, and processing techniques.
• Design efficient data structures and storage solutions.
• Innovate with tools for data processing and information retrieval.
• Dissect and document vast datasets.
• Develop impactful algorithms.
• Validate model performance and analyze ROI.
• Articulate model processes and outcomes.

• Master’s degree or higher in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
• 1+ years of experience in AI, data science, or predictive modeling.
• Proficiency in at least one programming language, with coding skills in Python.
• Experience with deep learning (CNN, RNN, LSTM), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
• Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas.
• Experience with large data analysis using Spark (pySpark preferred)
• Experience with LLMs and the relevant tools in the Generative AI domain.
• Experience developing advanced language models.
• Experience applying Generative AI-based tools.
• Experience with Hadoop and NoSQL related technologies.

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