Data Scientist, Square Staff - Payroll

  • Boston, DC, United States
  • Employees can work remotely
  • Full-time

Company Description

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 Description

Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable product experience. As a member of the Square Staff team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bringing our products to market. You will partner with the product team to lead experimentation & growth plans, partner with engineering to implement comprehensive and reliable data logging, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data. We are looking for seasoned and passionate data scientists to join our data team for the each of following product areas: 

Payroll - In addition to enabling businesses to take credit card payments, Square offers a variety of add-on features to help run and grow a business. Square Payroll is a full-service payroll, automated tax filing, and employee benefits system. As a data scientist on the team, you will help drive and execute on product and go-to-market initiatives for Square Payroll. You will collaborate with Product Managers, Product Marketing Managers, Engineers and Designers to optimize the product experience for driving acquisition and retention to deliver value to our broad community of Sellers. 

You will:

  • Work directly with the product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impact

  • Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights

  • Lead, coordinate, and execute on complex projects that extend beyond the traditional boundaries of product domains, analytics, and data science

  • Communicate analysis and decisions to high-level partners and executives in verbal, visual, and written media

  • Lead the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at Square

  • Develop resources to empower data access and self-service analytics so your expertise can be leveraged where it is most impactful

Qualifications

You have:

  • 3+ years of analytics and data science experience or equivalent

  • B.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)

  • Experience building relationships to influence product partners with data

  • Experience participating in cross-functional projects that depend on the contributions of others in multiple disciplines

  • Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes

  • Familiarity with data warehouse design and best practices

  • Fluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)

  • Fluency with general coding and scripting skills

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $152,100 - USD $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone D: USD $129,300 - USD $158,100

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. 

Benefits include the following:

  • Healthcare coverage
  • Retirement Plans including company match 
  • Employee Stock Purchase Program
  • Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance 
  • Paid parental and caregiving leave
  • Paid time off
  • Learning and Development resources
  • Paid Life insurance, AD&D. and disability benefits 
  • Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources 

This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

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.

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.

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