Data Scientist, Customer Identity & Access Management

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Employer Provided Salary: $106,800-$153,600 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.
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Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. 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 through Afterpay, 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. We're working to find new and better ways to help businesses succeed on their own terms-and we're looking for people like you to help shape tomorrow at Square.
Job Description
Our Customer Identity and Access Management (CIAM) team sits within the Commerce Platform organization and is responsible for creating remarkable products and experiences for our sellers, developers, buyers, and more. We're responsible for creating a shared platform for user accounts, access management, and policy enforcement. Growing Upmarket is a critical priority for Square, and this is a pivotal role to enable us to succeed. The team is responsible for foundational data models, APIs, intuitive UX for various actors to set up and manage their accounts within Square, and tooling to enable internal stakeholders to support our sellers better. This includes ownership of standards-based authentication flows and session management across the Square ecosystem for all platforms (iOS, Android, and web).
As a Data Scientist on Square Commerce Platform's centralized data science team, you will leverage analytics, engineering, and machine learning to empower data-driven decision making, with the aim of ensuring a reliable, scalable, and secure platform for Square and our sellers. You will partner closely with product managers, engineers, and other data scientists to identify gaps and opportunities in our current processes, design business, and product metrics, lead experimentation initiatives to improve those metrics, and develop automated solutions to help partner teams understand the health of our core business.
You will:

  • Partner primarily with CIAM product, engineering, and design teams to make data-driven decisions using a diverse set of tactics, including statistics, quantitative reasoning, and experimental design. You will also work closely with Risk, Payments, and other cross-functional teams.
  • Proactively identify gaps and opportunities in our processes. Design and analyze experiments with the goal of increasing Square's bottom line and ensuring Sellers' accounts are safe.
  • Build ETL pipelines, dashboards, and machine learning models that enable monitoring of the health and performance of our core business.
  • Be the subject matter expert on CIAM data. Translate requests from internal and external partner teams into questions that can be rigorously answered with data.
  • Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written media.
  • Evangelize data best practices and be an advocate for a data-driven culture across Square.


Qualifications
You have:

  • 2+ years of industry experience in data science, product analytics, or machine learning-focused roles.
  • Proficiency in SQL and Python, as well as working knowledge in the application of statistical and modeling techniques; willingness to learn new technologies on the job.
  • Proven track record of adding business value using data.
  • A strong Data Engineering background. Ability to ingest and analyze large data sources independently.
  • Proficiency in at least one visualization tool (we primarily use Looker).
  • Strong written and verbal communication skills and the ability to build strong relationships and influence product partners.
  • Prior experience in account security and management is beneficial, but not required.
  • Comfort working in a dynamic work environment.


Technologies we use and teach:

  • SQL
  • Python (numpy, pandas, sklearn)
  • Machine Learning (e.g. regression, ensemble methods, neural networks, etc.)
  • Google Cloud Platform: BigQuery, Dataflow, and Composer
  • Airflow
  • Looker
  • Databricks


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 $125,600 - USD $153,600
Zone B: USD $119,300 - USD $145,900
Zone C: USD $113,000 - USD $138,200
Zone D: USD $106,800 - USD $130,600
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.
Full-time employee benefits include the following:

  • Healthcare coverage (Medical, Vision and Dental insurance)
  • Health Savings Account and Flexible Spending Account
  • 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 (including 12 paid holidays)
  • Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)
  • Learning and Development resources
  • Paid Life insurance, AD&D, and disability benefits
  • Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources


These benefits are further detailed in Block's policies. 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.
US and Canada EEOC Statement
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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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
  • People Operations
    • C#Languages
    • C++Languages
    • CSSLanguages
    • DartLanguages
    • JavaLanguages
    • JavascriptLanguages
    • KotlinLanguages
    • Objective-CLanguages
    • PHPLanguages
    • PythonLanguages
    • RLanguages
    • RubyLanguages
    • RustLanguages
    • SassLanguages
    • SqlLanguages
    • SwiftLanguages
    • TypeScriptLanguages
    • FigmaDesign
    • DocuSignCRM
    • DriftCRM
    • SalesforceCRM
    • MarketoLead Gen
    • ZoomInfoLead Gen
    • SlackCollaboration
    • AsanaProject Management
    • BasecampProject Management

Location

Seattle, WA

An Insider's view of Square

How would you describe the company’s work-life balance?

"Our remote work policy gives me the flexibility to both travel, and collaborate in office. Our remote policy lets me continue to do things I am passionate about, which encourages me to bring my most authentic self to the workplace and feel empowered."

Pooja

Recruiter

What does career growth look like on your team?

“My internship at Square was great. I learned from world-class Engineers and was given a ton of ownership over meaningful projects. As a full time Engineer, I joined the same team I interned on, and have continued to build Machine Learning driven features that empower businesses.”

Jake

Machine Learning Engineer

What are Square Perks + Benefits

Square Benefits Overview

We’re building an inclusive economy where all sellers have equal access to opportunity. We strive to live by these same values in all our workplaces.

Culture
Volunteer in local community
OKR operational model
Open office floor plan
Remote work program
Diversity
Dedicated diversity and inclusion staff
Mandated unconscious bias training
Diversity employee resource groups
Hiring practices that promote diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Pet insurance
Wellness programs
Mental health benefits
Financial & Retirement
401(K)
401(K) matching
Company equity
Employee stock purchase plan
Child Care & Parental Leave Benefits
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Vacation & Time Off Benefits
Generous PTO
Paid holidays
Paid sick days
Office Perks
Fitness stipend

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