Senior Data Scientist - Product

Snowflake
Menlo Park, Bellevue
Workplace: OnsiteFull timeUSD 168,000 - 220,500 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: phdSkills: ["Communication","Collaboration","Problem-solving","Analytical thinking"]

Senior full-stack data scientist within Snowflake's Product Data Science team, partnering with Product Management and Engineering to shape roadmaps, build production data models and analytics frameworks, and deliver data-driven insights that influence product decisions and customer experiences.

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Snowflake
Snowflake
1 year ago

Senior Data Scientist - Product

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Senior full-stack data scientist within Snowflake's Product Data Science team, partnering with Product Management and Engineering to shape roadmaps, build production data models and analytics frameworks, and deliver data-driven insights that influence product decisions and customer experiences.
Location: Menlo Park, Bellevue
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.
  • •Build efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.
  • •Build scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.
  • •Be an early adopter/pro user of Snowflake features and provide feedback on design parameters.
  • •Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.

Pay and Benefits

Salary: USD 168,000 - 220,500 annually

Key Requirements

  • •MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).
  • •8+ years of relevant data science or related experience.
  • •Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.
  • •Expert 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, etc.
Experience:8+ yearsData scienceEnterprise softwareSaaS
Education:PhD / Doctorate
Skills:CommunicationCollaborationProblem-solvingAnalytical thinking
Tech Stack:SQLPythonScikit-learnNumpyPandasSnowflakeRedshiftBigQueryVerticaStreamlit

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn