
About Snowflake
The cloud data platform for seamless data sharing
Key Highlights
- Public company (NYSE: SNOW) - strong equity potential
- Over 1,300 partners managing 250PB of data
- 515 million data workloads processed daily
- $1.4 billion raised to date
Snowflake (NYSE: SNOW) is a leading cloud data platform headquartered in Menlo Park, CA, designed for data sharing and application development. With over 1,300 partners, Snowflake manages more than 250PB of data and supports over 515 million data workloads daily. The company has raised $1.4 billion ...
🎁 Benefits
Snowflake offers comprehensive health insurance, robust retirement plans, generous PTO, and on-demand mental health programs. Employees also benefit f...
🌟 Culture
Snowflake fosters a culture focused on innovation and collaboration, breaking down data silos with a frictionless cloud platform. The company emphasiz...
Skills & Technologies
Overview
Snowflake is hiring a Senior Data Scientist to work closely with Product and Engineering teams on innovative AI/ML tools and analytical initiatives. You'll build data models and production pipelines while shaping the future of Snowflake products. This position requires strong expertise in data science and machine learning.
Job Description
Who you are
You have a strong background in data science with a focus on product development — your experience includes building data models and production pipelines that drive impactful product enhancements. You are proficient in Python and have a solid understanding of machine learning techniques, enabling you to develop scalable analytics frameworks. Your analytical mindset allows you to uncover feature usage patterns and identify areas for performance improvements. You thrive in collaborative environments, working closely with product management and engineering teams to shape feature roadmaps and design metrics for success. You are passionate about leveraging data to drive innovation and improve user experiences.
Desirable
Experience with Snowflake is a plus, as it aligns with your expertise in building data-driven solutions. Familiarity with SQL and data analysis tools enhances your ability to evaluate product effectiveness and inform strategic decisions. You are comfortable navigating complex data environments and can communicate insights effectively to stakeholders.
What you'll do
As a Senior Data Scientist at Snowflake, you will partner with product management and engineering to design metrics and analytical workflows that evaluate product success. You will build efficient data models and high-quality production pipelines, collaborating with engineering teams to ensure necessary telemetry is in place. Your role will involve developing scalable analytics and machine learning frameworks to uncover insights that drive product enhancements. You will engage in long-running analytical initiatives that yield substantial improvements to Snowflake's offerings. Your contributions will help shape the future of Snowflake products and services, making a significant impact on the company's growth trajectory.
What we offer
At Snowflake, you will be part of a culture that values impact, innovation, and collaboration. We provide opportunities for professional growth and development, allowing you to take your career to the next level. You will work in a dynamic environment where your contributions are recognized and valued. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective could be the key to our success. Join us in building a future where data empowers enterprises to achieve their full potential.
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