Impact you will make in the role:
- Work on data preprocessing and feature engineering of time series, structured and unstructured CRM data (using NLP and other techniques)
- Participate in developing, improving, and refining and machine learning and deep learning models and data processing systems
- Research and implementation of state-of-the-art statistical solutions from research papers
- Collaborate with engineering, QA, and product development teams
- Tech Stack: Python, AWS Technologies, Ray Framework, SQL, NoSQL, Time-Series and Graph DBs
Expertise you will bring in:
- Degree in data science, computer science or a related discipline
- Understanding of Machine learning and Deep Learning fundamentals
- Expertise in writing productional level python code (2+ years hands-on experience)
- Experience working with databases
- Experience in data analysis and predictive modeling (data extraction and preparation, feature engineering, machine/deep learning model building and deployment... ideally full cycle
- Working experience with popular ML/DL frameworks like Scikit-learn, Keras, or PyTorch
- Experience in working with and integrating external data sources is a plus
- Experience with time-series, graph based deep learning and graph databases is a plus
- Experience in working closely with cross-functional teams
