Data Scientist, Innovation Lab (US Remote)

Responsibilities:

• Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
• Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
• Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.

Qualifications:

• Master's degree or higher in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
• 1 or more years of experience in AI, data science, or predictive modeling.
• Proficiency in at least one programming language, with coding skills in Python.

Experience:

• Experience with deep learning (CNN, RNN, LSTM, attention models), 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)