AS A PRINCIPAL ML SCIENTIST SCIENTIST AT SNOWFLAKE YOU WILL:
Lead projects; Conceptualize, design and lead the execution of large ML projects, aligning with the business goals, delivering measurable value & impact.
Engage with stakeholders; lead the conversations with technical & non-technical stakeholders; identify areas where one can apply AI & ML; facilitating discussions around key drivers for decision making & operational efficiencies.
Provide technical & thought leadership; designing and implementing advanced machine learning techniques, focusing on robust & scalable solutions. Participate in all stages of development, ideation to production.
Provide mentorship; to junior ML & Data Scientists, around problem formulation, technical design, algorithm choices & code quality.
Develop hands-on; analyze large amounts of data, manage data quality, design & develop complex ML models (and the ensuing ML solutions), deploy & manage production-grade applications end-to-end, tell the story in a compelling manner.
Partner with customers; showcase internal solutions to customers, help them envision solutions stringing Snowflake platform capabilities together, partner with internal teams that enable customer solutions.
OUR IDEAL CANDIDATE WILL HAVE:
High levels of curiosity, eager enthusiasm & demonstrable experience working on open-ended problems
Exceptional problem solving skills with the ability to think strategically
Demonstrable experience and interest in problem formulation based on relatively abstract information
High levels of adaptability, to respond to fast-evolving project scope, adjusting strategies & plans accordingly; comfortable being scrappy
7+ years experience applying machine learning or statistical modeling on large datasets; pre-processing, data quality, feature engineering; the whole nine-yards
Deep understanding of the basic classes of ML algorithms, statistics & linear algebra; with a keen interest in the underlying theory & assumptions
Technical expertise in one or more of the following topics: Anomaly Detection, Clustering, Time-Series Analysis & Forecasting, Natural Language Processing (NLP), Uncertainty Quantification
Experience building LLM based applications in a business environment; up to date with advancements in the Gen-AI space, in an applied sense, about foundational models & tools in the ecosystem (such as langchain, RAGAS etc)
7+ years experience writing production-quality, scalable code using Python. Expert software development lifecycle and best practices
Deep experience & a point-of-view for developing end-to-end turn key ML solutions, enablement & adoption baked into the solution
Expert level knowledge working with libraries such as scikit-learn, pandas, etc., SQL, Airflow, Cloud Services
Domain knowledge and experience in the application of ML to one of Corporate Sales, Sales Engineering, Security & Econometrics, is a plus
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 $191,000 - $299,000.
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.