AS A DATA SCIENTIST AT SNOWFLAKE YOU WILL,
- Work closely with stakeholders to understand the use-cases and identify areas where one can apply ML algorithms for the highest potential impact
- Apply advanced ML algorithms using large-scale datasets. Leverage techniques such as reinforcement learning, deep learning, tree-based methods, bayesian techniques, kernel/non-parametric methods, gradient boosting and generative models
- Deploy machine learning models into production systems, ensuring scalability and seamless integration
OUR IDEAL CANDIDATE WILL HAVE,
- High levels of curiosity and eager enthusiasm for open-ended problems
- Experience and interest in problem formulation based on relatively abstract information
- 3+ years experience applying machine learning or statistical modeling on large-scale datasets and in pre-processing and analyses of data
- Firm understanding of the basic classes of ML algorithms and their underlying assumptions including statistics and linear algebra
- Ability to break complex problems down into sizable pieces and work towards them.
- Technical expertise in one or more of the following topics: Anomaly Detection, Clustering, Time-Series Analysis & Forecasting, Natural Language Processing, Uncertainty Quantification
- Domain knowledge and experience in the application of ML to one of the following areas Sales, Sales Engineering, Security etc.,
- 3+ years experience writing production-quality, scalable code using Python and knowledge of the software development lifecycle and best practices
- Expert level knowledge working with libraries such as scikit-learn, pandas, etc., SQL and Airflow
- Required to adapt quickly to changing project scope while delivering value.