Senior Data Scientist, Snowflake
$152-224.2k
+ Bonus and equity
3-5 days a week in office ( Menlo Park, CA)
AI Data Cloud for data sharing and app building
Be an early applicant
AI Data Cloud for data sharing and app building
1001+ employees
Be an early applicant
$152-224.2k
+ Bonus and equity
3-5 days a week in office ( Menlo Park, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- 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
- 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
- Experience building AI & LLM based applications in a business environment; up to date with advancements in the Gen-AI space, in an applied sense with techniques such as RAG, AI Assistants and Agentic workflows
- Solid understanding of NLP techniques and embedding methods, foundational models and model fine-tuning; with experience in developing conversational AI or agentic AI workflows that allow models to take autonomous actions
- Experience writing production-quality, scalable code using Python. Strong with the software development lifecycle and its best practices
- Experience & a point-of-view for designing and developing end-to-end turn key ML solutions, enablement & adoption baked into the solution. Also experience iterating on ideas and deliverables
- 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
What the job involves
- We’re looking for a Senior ML/Data Scientist for Snowflake's Corporate Machine Learning team. In this role, you will apply AI & ML to a variety of domain specific problems across Snowflake’s business data
- This is a generalist role and will provide an opportunity to work on a wide breadth of problems, applying a good mix of models & methods to structured & unstructured data, driving large-scale projects from idea to completion
- Lead projects; Conceptualize, design and lead the execution of large AI & 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) including ML pipelines, deploy & manage production-grade applications end-to-end, and 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 take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organizations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
LATE VC
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Bozeman, MT
Leadership
Benoit Dageville
(Co-Founder)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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