Role: Senior Data Scientist
- Responsible for designing, developing, testing and deploying ML models that can leverage multiple signal sources, to build a personalized user experience
- Work closely with the business stakeholders to identify the potential Data science applications
- Contribute by doing opportunity analysis, building project proposals, designing and
implementation of ML projects, in the areas of Ranking, Embeddings, Recommendation engines etc
- Collaborate with software engineering teams to design experiments, model implementations and new feature creation
- Clearly communicate technical details, strategies and outcomes to a business audience
Requirements
Requirements:
- 5+ years of hands-on experience in data science using techniques including but not limited to regression, classification, NLP etc.
- Previous experience in model deployment, model monitoring, optimization and model interpretability.
- Expertise with Random forests, Gradient boosting, KNN, Regression and unsupervised learning algorithms
- Experience in using Neural Networks like ANN, RNN, Reinforcement Learning or Deep Learning etc.
- Solid understanding of Python and common machine learning frameworks such as XGBoost, scikit-learn, PyTorch/Tensorflow
- Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.
- Technology-driven mindset, up-to-date with digital and technology literature, trends.
- S/he must have knowledge of Experimentation and Basic Statistics
- S/he must have experience in Predictive Analytics.