Data Scientist Square For Retail at Square

Company Description
Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And 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 all in one place.Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
Job Description
From the cozy local wine store to the trendy sneaker pop-up, the Retail team at Square is equipping retail sellers with simple solutions to complex problems - like predictive analytics and fluid, omni-channel capabilities to meet customers wherever they are. Square’s mission is economic empowerment, and Data Scientists support this by using data to understand and empathize with our customers, thereby enabling us to build a remarkable product experience. You and your fellow data science & analytics teammates on the Retail Analytics team are embedded within product and marketing sub-teams (“squads”), leveraging data engineering, analytics, statistics, and machine learning to empower data-driven decision making in the full life cycle of product development.
You will:
Partner with the product, design, and marketing stakeholders to identify, prioritize, and answer the most important questions where analytics can have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning; discerning where simple analytics solutions (e.g. a quick heuristic or visualization) are preferable to complex solutions (e.g. machine learning)Contribute to the data strategy of product engineering, influencing engineers to make well-informed architecture and design decisions that affect data at SquareProvide comprehensive day-to-day analytics support to partner teams, developing tools and resources to empower data access and self-service so your advanced expertise can be leveraged where it is most impactful
Qualifications
You have:
2+ years of analytics experience Fluency in SQL, with experience exploring and understanding large, complex datasets & data systemsExperience working with technical and non-technical partners, such as product managers and product marketing managersExperience with statistical and machine-learning techniques to solve practical business problems such as hypothesis testing, clustering user archetypes, or predicting churnVery strong communication skills: ability to clearly communicate complex results to technical and non-technical audiences in verbal, visual, and written mediaExperience maintaining a backlog and performing independently
Even better:
Experience with a BI tool such as Looker or Tableau Experience with data warehouse design, development and best practicesA degree in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical field
Technologies we use and teach:
SQL (Snowflake)OptimizelyAirflow (ETL)Looker, Amplitude, TableauPython (pandas, scikit-learn, etc.)
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. 
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.