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    Director of Data Science - San Francisco, CA, United States - Varo Money

    Varo Money
    Varo Money San Francisco, CA, United States

    1 week ago

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    Description


    San Francisco, CAData – Data Science /Full-time /RemoteAbout The RoleYou will lead Varo's Data Science team under the umbrella of Varo's Data organization, spanning Data Analytics, Data Science, Data Product Management, Data Engineering and ML Engineering.

    Collectively our objective is to enable and catalyze decision making across Varo's key verticals (acquisition / engagement, fraud, lending, operations) using data.

    The Data Science team works closely with business stakeholders to understand the commercial problems to be addressed, deploys appropriate machine learning and causal inference methodology to develop solutions, and partners with engineering stakeholders to deploy those solutions.

    If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company's growth, apply nowWhat you'll be doingBe responsible for owning and driving Varo's Data Science efforts (roadmap planning, stakeholder engagement, delivery) across artificial intelligence, machine learning, and causal inferenceDevelop custom models to drive commercial outcomes spanning all of Varo's verticals, as well as, processes for monitoring and analyzing their performanceAssess the effectiveness and accuracy of new data sources and data gathering techniquesUnderstand and apply proper risk framework to your analysis and modelingWork with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisionsCollaborate cross functionally to implement models and monitor outcomesYou'll bring the following required skills and experiences8+ years of experience in Data Science, Applied Science or Software Engineering as an individual contributor.

    You will need to flex in your role across IC and manager capabilities.
    An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc.

    Demonstrated impact and leadership in at least one area (acquisition / engagement, fraud, lending, operations) combined with exposure to othersExperienced in using Python for analysis and modeling, applying a wider range of statistical techniques to large data setsPrior experience with Generative Artificial Intelligence is nice to have$200,000 - $280,000 a yearFor cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies.

    Per applicable law, the salary range for this role is $200,000 - $280,000.

    Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range.

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