Location: Remote (U.S.)
Posted: February 1, 2025
About Snowflake:
At Snowflake, we are on a mission to change the way the world thinks about data. We’ve built a platform that unifies data, analytics, and machine learning into a single, integrated ecosystem, empowering businesses to unlock insights like never before. As one of the fastest-growing tech companies, we are scaling rapidly—and we need the best and brightest to help us shape the future of the AI-powered Data Cloud.
We’re seeking a Principal Full-stack Data Scientist to join our Product Data Science team, a key player in our most impactful initiatives. In this role, you’ll work alongside our Product and Engineering teams to help define the next generation of Snowflake’s cutting-edge features and AI/ML tools.
What You’ll Do:
???? Shape the Future of Snowflake Products
- Partner with Product Management and Engineering to define feature roadmaps and build the data models and metrics to track their success.
- Contribute to Snowflake’s AI/ML capabilities, improving everything from core operations to experimental features.
?? Architect Scalable Solutions
- Design efficient, high-quality data models and production pipelines that deliver insights at scale.
- Develop analytics/ML frameworks to uncover feature usage patterns, diagnose system performance, and improve the customer experience.
???? Be an Early Innovator
- Work with Snowflake features as a pro user and provide valuable feedback on product design.
- Use Snowflake Notebooks, Snowsight Dashboards, or Streamlit Apps to present insights to the organization in the most impactful way.
???? Influence Key Decisions
- Drive initiatives with cross-functional teams to ensure that decisions improve outcomes for Snowflake customers.
- Collaborate with executives to report insights and contribute to industry publications.
???? Tackle Complex Problems Creatively
- Use your problem-solving skills to find optimal solutions to unstructured, high-impact challenges.
- Work in an agile, fast-paced environment where your ability to pivot and deliver makes a difference.
Our Ideal Candidate:
???? Qualifications:
- MS/Ph.D. in quantitative disciplines (Math, Statistics, Operations Research, Economics, Engineering, or Computer Science).
- 12+ years of relevant experience in data science or a related field.
???? Technical Expertise:
- Expert-level skills in SQL & Python, and experience with tools like scikit-learn, numpy, and pandas.
- Advanced experience with large-scale machine-generated data (logs, application telemetry, or customer usage data).
- Proficient in working with MPP databases like Snowflake, Redshift, BigQuery, and Vertica.
???? Data-Driven Storyteller:
- Proven ability to present data insights to business leaders and technical stakeholders and influence critical decisions.
- Exceptional communication skills to guide product and engineering teams through complex data narratives.
?? Agility and Innovation:
- Ability to thrive in a dynamic, fast-paced environment, staying flexible and creative to solve evolving challenges.
- A proactive mindset to roll up your sleeves and drive results at all stages of product development.
Why Snowflake?
???? Rapid Growth, Endless Opportunities:
- Join one of the fastest-growing companies in the data space, where your contributions shape the future of the AI Data Cloud.
- Be a key player in defining and building high-impact features for Snowflake’s customers.
???? Inclusive, Dynamic Culture:
- At Snowflake, we challenge ordinary thinking and encourage innovation to drive results.
- We foster a collaborative and inclusive environment that values diverse perspectives and experiences.
???? Be Part of Something Big:
- Help shape the future of Snowflake products and services by solving some of the world’s most challenging data problems.
What’s Next?
Ready to make your impact? If you’re an expert in data science, passionate about AI/ML innovations, and excited to lead Snowflake’s most strategic initiatives, we want to hear from you! Apply now and be part of Snowflake’s journey to redefine the data cloud industry.
