Job Description

Square Go is a new consumer marketplace and booking management app for businesses using Square Appointments. We are looking to put some of the superpowers that we have built for businesses into the hands of their customers, while helping to grow those businesses by bringing in new customers discovering their next barber, nail salon, or other service provider in our marketplace. You will be the team’s first dedicated data scientist that closely partners with 4–5 software and ML engineers, moving fast and experimentally (e.g. think quarterly planning instead of annual planning), and putting on (and swapping) multiple hats.

You will:

• Partner with the Square Go team to make data-driven decisions that have significant impact;
• Define the data vision and execution for general buyer-facing properties at Square;
• Apply a diverse set of techniques including statistical analysis, machine learning (ML), analytics, and data engineering to generate strategic insights;
• Collaborate with ML engineers on interesting ML initiatives ranging from categorization to search/recommendations;
• Communicate analysis and recommendations to high-level business partners in verbal, visual, and written forms;
• Develop resources and collaboration processes to empower data access and self-service so that your expertise can be leveraged where it is most impactful.

Qualifications

You have:

• 4+ years of data science experience or equivalent;
• Fluency with Python and SQL;
• Solid statistical foundations (e.g. A/B testing);
• Familiarity with standard machine learning concepts (e.g. regression/classification, clustering, offline/online model evaluation) and curiosity to learn more modern techniques (e.g. NLP) as required;
• Familiarity with data engineering best practices;
• Experience leading cross-functional projects and partnering with Product/Engineering/Marketing/Design on strategy and prioritization;
• Excellent verbal and written communication.

Nice to have:

• M.S or Ph.D. in a quantitative field (e.g. mathematics, statistics, or similar STEM field);
• Experience working on online marketplace products / mass market consumer-facing apps.