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Snowflake PRINCIPAL ML SCIENTIST United States, California 933616034
30.07.2024
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AS A PRINCIPAL ML 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.
- 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.
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