Work closely with stakeholders to understand the use-cases and identify areas where one can apply ML algorithms for the highest potential impact
Research, design, and 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
Own MLOps; deploy machine learning models into production systems, ensuring scalability and seamless integration
Mentor & guide junior data scientists, fostering a culture of continuous learning and growth within the team
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
7+ 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.,
5+ 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
Demonstrate keen senses of ownership, collaboration and mentorship
Ability to articulate results and complex concepts to leadership
Required to adapt quickly to changing project scope while delivering value.
Ability to articulate results and complex concepts to all audiences. Ability to collaborate and influence leadership
Demonstrate keen senses of ownership, collaboration and mentorship
Demonstrate leadership, with the ability to inspire the team & lead a project to completion
The following represents the expected range of compensation for this role:
The estimated base salary range for this role is $148,000 - $218,500.
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.