About the role
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.