Job Title: Data Scientist, Square Support
Company: Square
Location: United States
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.

So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality, 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.


The Role


Our innovative and technology-forward approach to risk management and customer support has been fundamental to how we invent and build financial products. The Risk team at Block continues this legacy through a sophisticated, technology and science-led approach to protecting our customers and their accounts. Our interdisciplinary structure in Risk combines Product Development, Science teams (specializing in modeling, analytics, and data science), Operations and key partners including Legal, Compliance and Policy teams, all working in concert to identify, assess, and solve complex risk challenges across fraud prevention, support, and compliance.




In this role, you'll be embedded within the Support Data Science team, collaborating with cross-functional partners to drive strategy through advanced statistical techniques with a particular focus on serving our Square customer base. This is an exciting opportunity to both build upon existing frameworks and pioneer new solutions in our merchant support space. You'll work closely with our applied machine learning and product teams to experiment, measure, and implement data-driven improvements to how Square customers receive help. Our customer base presents unique analytical challenges due to its diverse composition of business types and varying support needs. You'll be instrumental in developing and maintaining foundational metrics that guide our support strategy, while continuously experimenting to identify what approaches work best for different customer segments. As part of a team that's actively building its analytical foundation, you'll have the chance to shape how we measure, understand, and enhance the customer support journey.


You Will



Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders


Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior


Design and analyze A/B experiments as well as pseudo-experimental techniques like causal inference and difference-in-difference


Work with data engineers to log new, useful data sources to reflect our product features and with ML engineers to develop models and productionalize them


Build, visualize and report on metrics that drive strategy and facilitate decision making for key business initiatives


Write code to effectively process, cleanse, and combine data sources in the pursuit of insights and exploratory analytical endeavours 


Partner closely with business intelligence and data engineering teams to build out curated ETL datasets that are easily used by the broader team


Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis


Identify and develop automation opportunities in our current processes / workflows



We're Targeting



A Level 5 hire - typical experience for L5 would be something like BSc with 4-6 years; MSc with 2-5 years; or a PhD with 1-3 years 


A background in Statistics, Mathematics, Biostatistics, Economics or related quantitative field


Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)


Extensive experience with scripting and data analysis programming languages, such as Python or R


Strong experience with experimentation techniques


Deep familiarity with cohort and funnel analyses, a well-developed understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities


Passion for understanding human behavior and improving products/features that real customers use



Technologies We Use and Teach



SQL, Snowflake, etc.


Python (Pandas, Numpy)


Looker, Databricks, Airflow, Mode, Prefect, Tableau





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 an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.




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.




While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.

 
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.
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. 
 

Zone A:: $163,600 USD - $245,400 USD

Zone B: : $155,400 USD - $233,200 USD

Zone C:: $147,300 USD - $220,900 USD

Zone D:: $139,000 USD - $208,600 USD

Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.




Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone.




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