Live opening · Posted 26 days ago
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About the role
Description supplied by the original job listing.
Requirements:
Bachelor's or master's degree in a quantitative field (CS, machine learning, mathematics, or statistics) or equivalent experience.
5+ years of experience in data science, building hands-on ML models.
Experience leading the end-to-end design, development, and deployment of predictive modeling solutions.
Excellent programming skills in Python.
Strong working knowledge of Python's numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
Advanced SQL skills with SQL Server and Spark experience.
Knowledge of predictive/prescriptive analytics, including machine learning algorithms (supervised and unsupervised) and deep learning algorithms and artificial neural networks.
Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing, and topic modeling.
Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment.
Experience with data visualization tools like PowerBI, Tableau, R Shiny, etc. is preferred.
Experience with cloud platforms such as Azure and AWS is preferred but not required.
Experience
7-11 yrs
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