About This Role
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As a Senior Data Scientist, you will collaborate with colleagues and subject matter experts to solve complex problems using scientific methods, algorithms, and data analysis.
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You will work with engineers, designers, and product owners to build and maintain innovative products and services that meet our user needs daily.
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Key Responsibilities:
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* Analyze complex and messy data to uncover its value and contribute to our understanding of data assets.
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* Apply scientific methods such as hypothesis generation, experimentation, and analysis to develop products (e.g., models, POCs).
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* Lead hypothesis-driven experiments and deliver measurable impacts through holdouts.
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* Maintain high coding standards, collaborating with scientists and engineers to produce robust, reproducible code.
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* Work with engineers to maintain and operate end-to-end data pipelines supporting data-intensive applications.
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Required Skills and Qualifications
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* Practical experience in a similar analytics role.
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* Proficiency with data querying (SQL), scripting (Python), and statistical software (R).
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* Degree in Mathematics, Computer Science, Engineering, or related field, or equivalent practical experience.
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* Strong understanding of the mathematical concepts underlying these domains.
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* Excellent communication skills, able to tailor messages for technical and non-technical stakeholders.
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About Our Team
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The team drives the adoption of data-driven decision making across the organization, supporting both internal users and a global community of small business owners, bookkeepers, and accountants.
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We develop and deliver data services and products, including core reporting, scalable analytical data processing and storage, machine learning frameworks, and API-driven prediction services.
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We are experts in data architecture, data modeling, machine learning, ethical data usage, and AI service design. We also work to improve data and AI literacy within the company.
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About Us
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Xero aims to empower small businesses and the accounting community by automating routine tasks, unlocking actionable insights, and connecting them with valuable data, advisors, and applications.
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This mission is driven by a culture of collaboration, respect, healthy skepticism, and growth mindset.
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