Data Scientist

What We're Looking for Experience with B2B SaaS-relevant data, including Salesforce and financial metrics Strong communication skills and ability to work effectively across multiple departments and stakeholder groups Ownership mindset and ability to deliver end-to-end outcomes independently; must be a "startup type" Demonstrated ability to design data pipelines and work with imperfect, evolving data sources Sharp attention to data quality, including validation, anomaly detection, and root-cause analysis of inconsistencies Strong proficiency in Python and SQL; experience with modern data stack tools (e.g., dbt, Airflow, Spark, or equivalents, a plus) Experience with data visualization tools (e.g., Tableau, Looker, or similar) Some familiarity with infrastructure and related setup (databases, data warehouses, VMs) Knowledge of core machine learning concepts and when to apply them pragmatically Example Initial Projects Build a likelihood-of-close model for Salesforce opportunities, which factors in relevant metadata and history Create a framework and initial implementation for an executive operational dashboard, working with a broad set of teams Define, validate, and implement key SaaS product-usage metrics As we grow, you will, too, with the broad scope of a software startup. Location: Bay Area preferred (HQ in Santa Clara), but open to the right remote candidate. Salary Range: The base pay range for this role is between $170,000 and $190,000. Base pay will depend on your skills,

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