About the role
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.