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Высокая зарплатаЧеткие обязанностиБыстрорастущая компанияПродуктовая компания
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Hirify AI/Оригинал
TL;DR
Senior Data Scientist (AI/ML): Building and optimizing high-impact data science solutions for Snowflake products, ranging from core operations to innovative AI/ML tools. Focus on designing metrics, building scalable analytics/ML/causal inference frameworks, and influencing product and engineering decisions with data-driven insights.
Location: Must be based in the US (Menlo Park, CA or Bellevue, WA)
Salary: $168,000–$220,500
Company
Snowflake is a fast-growing product company focused on empowering enterprises with its data cloud platform, fostering a culture of impact, innovation, and collaboration.
What you will do
Partner with Product Management and Engineering to define feature roadmaps and design metrics for evaluating success.
Build efficient data models and high-quality production pipelines, ensuring necessary telemetry.
Develop scalable analytics, ML, and causal inference frameworks to uncover usage patterns and performance enhancements.
Evaluate and utilize appropriate Snowflake features to disseminate insights for maximum impact.
Influence decisions and drive initiatives with product and engineering teams to enhance customer outcomes.
Provide data-driven answers to executive team questions and contribute to industry reports.
Requirements
MS/Ph.D. in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).
8+ years of relevant data science or related experience.
Expert-level experience with SQL & Python, including scikit-learn, numpy, and pandas.
Expertise in working with large-scale machine-generated data (e.g., logs, application telemetry, or customer usage data).
High fluency with MPP databases such as Snowflake, Redshift, BigQuery, Vertica.
Expert data-driven storytelling skills to convey insights and influence decisions.
Culture & Benefits
A culture that emphasizes impact, innovation, and collaboration.
Opportunity to build big, move fast, and advance technology and careers.
Focus on empowering enterprises and people to achieve their full potential.
Every employee is expected to follow confidentiality and security standards.
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