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Senior Data Scientist

Posted 17 days agoViewed

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💎 Seniority level: Senior, 4+ years

📍 Location: United States

🔍 Industry: Software Development

🏢 Company: Vanta👥 501-1000💰 $150,000,000 Series C 10 months agoInternetArtificial Intelligence (AI)ComplianceCyber SecuritySoftware

⏳ Experience: 4+ years

🪄 Skills: LeadershipPythonSQLBusiness IntelligenceData AnalysisMachine LearningSnowflakeProduct DevelopmentBusiness OperationsProduct AnalyticsData scienceCommunication SkillsAnalytical SkillsData visualizationData modelingData analyticsChange ManagementA/B testing

Requirements:
  • Have at least 4 years of experience working with data as a data scientist / analyst in an applied business context
  • Deep experience with data visualization
  • Professional experience with statistics and analytical techniques.
  • Experience with experiment design and hypothesis testing in small n experiments.
  • Building models for predicting the P(churn) of a customer
  • Building models for predicting risk
  • Deep understanding of Product analytics stacks (Heap, Amplitude, StatSig, client stride tracking, and browser mechanics) and integration of product data with Customer Success teams
  • Deep understanding of Go to Market data stacks (Salesforce, Hubspot, Catalyst, Zendesk) and integration of product data with Customer Success teams systems and processes
  • Deep understanding of B2B SaaS predictive analytics
  • Experience working within Product Teams
  • Experience leading executive data reviews
  • Experience delivering change management with BI tooling
Responsibilities:
  • Write DBT SQL pipelines to automate and manage data assets in Snowflake for our product partners.
  • Python/R with Hex.tech to conduct statistical analysis of product usage and engagement data.
  • Work in Sigma Computing to find insights in our customer journey
  • Conduct and manage business enhancing analytical projects: defining and predicting churn, specifying and building a product
  • Set the bar high for what is expected of predictive analytics projects.
  • Define the analytics practice for our Product Analytics efforts
  • Help craft our AI and LLM measurement practices
  • Lead Analytics Reviews with C-level partners
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