Block Logo

Block

Data Scientist, Risk ML

Posted 4 Hours Ago
Be an Early Applicant
In-Office or Remote
7 Locations
139K-245K Annually
Senior level
In-Office or Remote
7 Locations
139K-245K Annually
Senior level
The Data Scientist will analyze high-risk activities, develop machine learning solutions, and collaborate cross-functionally to improve risk management strategies at Square.
The summary above was generated by AI
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
We are looking for a Data Scientist to join our Risk Machine Learning team. This team is responsible for building processes to root out high-risk activity across the Square platform of products. This role will own pieces like managing top level Risk KPIs, establishing core operational metrics and making improvements through both complex analyses and machine learning solutions.
This role will call heavily on your analytical skills to identify and prevent fraud and credit risks and will leverage experimentation to promote risk effectiveness throughout Square. Data scientists at Block operate very cross functionally and you'll plug into folks from product, engineering, operations, machine learning, policy and sales to influence Square's global Risk road map and processes. You will also make a direct impact on Square's priorities and banking initiatives (debit card and credit card businesses, loans, etc.) by building risk detection strategies, developing/tracking key success metrics, influencing partners through data and enabling growth of the business.
You Will
  • Diagnose problems and develop compelling, data-driven recommendations
  • Provide thought leadership in building and executing risk management strategies for new or existing product launches
  • Design and analyze A/B experiments to measure the effectiveness of a Risk Management strategy
  • Partner with Product, Engineering, Machine Learning Engineering, Policy and Operation teams to design solutions to business problems, influence product roadmaps, and develop new products/processes
  • Use machine learning tools to develop data-driven solutions.
  • Promote creative risk solutions through third-party evaluation and integration with a focus on improving the seller experience
  • Effectively present your work with senior leaders and cross-functional stakeholders on a regular basis

You Have
  • BS/BA in Statistics, Mathematics, Operations Research, Management Science, Computer Science, or a related technical field, OR BS/BA in Criminal Justice, Economics, Business, or a related business field
  • 5+ years of relevant experience (or masters degree with 3+ years of experience)
  • Familiarity with fraud/risk management, trust and safety, payments, or card business
  • Proficiency with SQL, Python and Looker
  • Hands-on work building/implementing machine learning models
  • Experience driving data-driven solutions and executing their implementation
  • Worked on ambiguous problems and unstructured questions
  • A passion for Block's mission

Technologies We Use and Teach
  • SQL, Snowflake, Databricks etc.
  • Python (Pandas, Numpy)
  • Airflow, Looker, Prefect

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 - $245,400 USD
Zone B:
$155,400 - $233,200 USD
Zone C:
$147,300 - $220,900 USD
Zone D:
$139,000 - $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.

Top Skills

Airflow
Databricks
Looker
Numpy
Pandas
Prefect
Python
Snowflake
SQL

Block Denver, Colorado, USA Office

Denver, CO, United States

Similar Jobs at Block

4 Hours Ago
In-Office or Remote
Hamilton, ON, CAN
160K-240K Annually
Mid level
160K-240K Annually
Mid level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Territory Account Executive will sell face-to-face, develop a sales strategy, build pipelines, and track sales activities while exceeding targets in a fast-paced environment.
Top Skills: Salesforce
4 Hours Ago
In-Office or Remote
Kitchener, ON, CAN
160K-240K Annually
Mid level
160K-240K Annually
Mid level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Responsible for driving sales growth through in-person engagement with local sellers, building partnerships, and exceeding sales targets while using Salesforce for monitoring.
Top Skills: Salesforce
4 Hours Ago
In-Office or Remote
7 Locations
189K-284K Annually
Senior level
189K-284K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Manage and execute strategies for a $1B Technology supplier portfolio, overseeing supplier relationships and driving cost-saving measures. Lead contract negotiations and develop procurement strategies, while fostering collaboration across teams.
Top Skills: Data AnalysisFinancial SystemsProcurement

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account