ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Data Scientist
We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target
Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise
Responsibilities
- Understand complex real-world problems and leverage domain knowledge to develop reliable models
- Strategize ways of constructing training datasets that are representative, diverse and free of bias
- Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
- Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
- Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
- Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication
Requirements
- Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
- At least 2 years of experience with building machine learning and predictive model
- Familiar with Python is a must
- Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
- Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
- Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn
Good to Have
- Excellent communication skills - able to present their findings and models to senior stakeholders
- Experience in deploying models and systems into production environments
- Knowledge of golang
- Experience with developing Deep Convolutional Neural Networks (CNN)
- Familiar with Software Development Life Cycle (SDLC)
- Fluent in Data Visualization
