✦ Luna Orbit — Data & Analytics

Senior Data Scientist - Product

at Snowflake

📍 US-CA-Menlo Park Unknown Posted March 07, 2026
Type Not Specified
Experience mid
Exp. Years 8+ years
Education MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)
Category Data & Analytics

This role involves developing scalable data models and analytics frameworks to support Snowflake’s product initiatives, working closely with product and engineering teams.

  • Build data models and pipelines
  • Develop ML frameworks
  • Collaborate with product teams
  • Uncover product insights
  • Improve analytics capabilities

The position requires expertise in SQL, Python, machine learning, data pipelines, and experience with cloud data platforms like Snowflake, Redshift, and BigQuery.

The ideal candidate is a senior data scientist with 8+ years of experience in data modeling, machine learning, and analytics, proficient in SQL and Python, and experienced with large-scale data platforms like Snowflake and Redshift.

SQLPythonData ModelingML frameworksData pipelines
Big DataAnalyticsCausal inferenceProduct analyticsTelemetry
SnowflakeRedshiftBigQueryVerticaStreamlitSnowsight
SQLPythonscikit-learnnumpypandasData ModelingMLData PipelinesSnowflakeRedshiftBigQueryVertica
SQLStructured Query LanguagePythonscikit-learnnumpypandasData ScienceMLMachine LearningAnalyticsData ModelingETLData PipelinesBig DataSnowflakeRedshiftBigQueryVertica
CommunicationCollaborationProblem-solvingStorytellingInfluencing
Industry Technology
Job Function Design and implement data science solutions to enhance product analytics and data infrastructure
Senior Data ScientistData ScienceSQLPythonscikit-learnnumpypandasMLMachine LearningAnalyticsData ModelingETLData PipelinesBig DataSnowflakeRedshiftBigQueryVerticaCausal inferenceTelemetry

Less than 8 years of relevant experience, Lack of proficiency in SQL and Python, No experience with large-scale data platforms, Inability to communicate insights effectively

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