The Data Scientist will lead sampling studies, analyze compliance risks, and communicate insights to influence strategic actions across teams.
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
The Role
This role will operate in the Compliance Data Science & Analytics team - chartered to put data at the center of the organization's decisions. As we build out a bad activity prevalence sampling function, we need a data scientist with a strong academic background in statistics, fluency in the practical application of sampling methodologies, and the ability to enact organizational change through their findings. They will partner with compliance, risk, and product teams to identify and measure new and existing areas of unwanted behavior in order to inform controls and compliance monitoring.
You Will
We're Targeting
Technologies We Use and Teach
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:
$198,000 - $297,000 USD
Zone B:
$188,100 - $282,100 USD
Zone C:
$178,200 - $267,400 USD
Zone D:
$168,300 - $252,500 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.
The Role
This role will operate in the Compliance Data Science & Analytics team - chartered to put data at the center of the organization's decisions. As we build out a bad activity prevalence sampling function, we need a data scientist with a strong academic background in statistics, fluency in the practical application of sampling methodologies, and the ability to enact organizational change through their findings. They will partner with compliance, risk, and product teams to identify and measure new and existing areas of unwanted behavior in order to inform controls and compliance monitoring.
You Will
- Spearhead the design, implementation, and analysis of bad activity prevalence sampling studies
- Leverage appropriate sampling methodologies tailored to measuring risk of money laundering and terms of service violations, ensuring studies provide an accurate picture of platform health
- Identify and mitigate potential biases and sampling errors to enhance the accuracy and reliability of findings
- Perform deep dive analysis into different customer segments and/or products to identify pockets of compliance risk and measure the effectiveness & impact of product controls
- Design and analyze experiments to assess the impact of compliance programs, leveraging A/B testing and causal inference methods to drive actionable insights
- Own executive-level reporting and metrics to measure risk and bad activity on the platform over time
- Collaborate with cross-functional teams to translate insights into strategic actions and program recommendations
- Communicate complex statistical concepts and results to both technical and non-technical audiences and influence teams to take action based on your recommendations
We're Targeting
- A Level 6 hire - typical experience for L6 would be something like BSc +7-10 years; MSc + 5-8 years; or a PhD + 3-5 years
- A background in Statistics, Mathematics, Biostatistics, Economics or related quantitative field
- Expert-level knowledge of sampling methodologies, with a proven ability to apply them in real-world scenarios and to identify and quantify sources of bias
- Expert-level abilities in SQL and data analysis/visualization tools (i.e. Tableau, Looker, Mode, Python libraries)
- Proficiency in scripting and data analysis programming languages, such as Python or R
- Deep experience using data to solve complex, ambiguous problems
- Vision to define problems and manage projects in a fast-paced, evolving organization
- Track record of bringing data to life for any audience through written and verbal communication and data visualization
- Excellent communication and leadership abilities
Technologies We Use and Teach
- SQL
- Python
- Looker/Tableau
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:
$198,000 - $297,000 USD
Zone B:
$188,100 - $282,100 USD
Zone C:
$178,200 - $267,400 USD
Zone D:
$168,300 - $252,500 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
Looker
Python
SQL
Tableau
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal