Staff Data Scientist, Snowflake
GenAI
$199-283.5k
+ Bonus & equity plan
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
$199-283.5k
+ Bonus & equity plan
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
- 5-7 years of experience as Data Scientist supporting various business functions
- Experience in building AI business application and tools that has been deployed into production that generates tangible business impact
- Proficient experience with Python and other relevant programming languages
- Hands-on experience with popular AI frameworks and libraries
- Experience with cloud-based AI platforms and services
- Solid understanding of natural language processing, computer vision, and speech recognition
- Master or PHD in Data Science, Computer Science, Artificial Intelligence, or a related technical field
- Excellent communication skills to explain AI systems to project managers and business stakeholders
- Ability to work in a fast-paced, ambiguous environment
Desirable
- Experience with generative AI frameworks and architectures
- Knowledge of large language models (LLMs) and their applications
- Familiarity with prompt engineering and fine-tuning techniques for generative AI models
What the job involves
- Snowflake's Data Analytics Office is actively seeking a Staff Data Scientist to join our team
- In this role, you will have the opportunity to design, develop, and implement cutting-edge AI solutions that enhance our internal functions across Sales, Marketing, HR, and Legal departments
- You will leverage your extensive industry experience while collaborating with cross-functional teams to create AI-driven applications that optimize our business processes
- Reporting to the Senior Director of Data & Analytics, you will be part of a team charged with building business applications and tools powered by AI, and integrating them into Snowflake's existing systems
- You will be a key player in driving innovation and efficiency across various company projects
- Design, develop, and implement AI infrastructure and solutions that enhance Snowflake's internal process, system and operations
- Create advanced applications to improve data analysis, predictive capabilities, and automation across various company projects
- Collaborate with cross-functional teams to understand business needs and translate them into effective AI-driven applications
- Integrate AI applications and tools into Snowflake's existing systems, ensuring scalability and compliance with data privacy standards
- Monitor and evaluate application and tool performance, conducting regular assessments to ensure accuracy and relevance
- Stay updated with the latest advancements in AI technologies and implement emerging trends in our solutions
- Optimize AI applications for performance and user engagement
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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