Data Scientist, Square Staff - Payroll

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

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.