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Square
Data Scientist, Commerce Platform
at Square
about 1 year ago | 733 views | Be the first one to apply

Data Scientist, Commerce Platform

Full-time
Canada

About the company

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale. Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.

Job Summary

You will:

đź“ŤPartner with the product stakeholders to identify, prioritize, and answer the most important questions where analytics will have a material impact and produce actionable insights đź“ŤDevelop tools & resources to empower data access and self-service so your expertise can be leveraged where it is most impactful đź“ŤApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning; discerning where simple analytics solutions (e.g. a quick visualization) are preferable to complex solutions (e.g. machine learning). đź“ŤCommunicate analysis and decisions to high-level stakeholders in verbal, visual, and written media đź“ŤContribute to the data strategy of the platform and influence stakeholders to make well-informed architecture and design decisions that affect data at Square

Qualifications

You have: đź“Ť3+ years of product-focused data science experience or equivalent Fluency in SQL đź“ŤExperience performing data analysis and machine learning using Python or R đź“ŤExperience using statistics to inform decision making đź“ŤAbility to understand complex business and data systems; versatility and willingness to learn new technologies on the job

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