Square
Senior Data Scientist, Risk
Square, Boston, Massachusetts, us, 02298
Company 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 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.
Job Description
We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. You will play a pivotal role in combating high-risk fraud and scams across our platform, utilizing advanced machine learning and analytical solutions. This position involves end-to-end project ownership, from feature identification to deployment and real-time fraud mitigation.
Key Responsibilities:
Fraud Detection & Prevention:Develop processes to identify and mitigate high-risk fraud and scam activitiesAnalyze and deploy solutions to real-time Square systems to prevent fraud in real-time
Data Analysis & Feature Development:Identify and analyze new fraud detection features using SQL, Databricks, and PythonBuild real-time features and implement them effectively
Model Building & Machine Learning:Collaborate with ML engineers to develop and leverage machine learning modelsEngage in ML model building activities for fraud detection (approximately 20% of the role)
Ad Hoc Fraud Mitigation:Respond to and mitigate real-time fraud attacks as they occur
Reporting & Dashboard Creation:Create and maintain dashboards to monitor key metrics and operational KPIsDevelop comprehensive reporting dashboards for internal use
Cross-functional Collaboration:Work closely with Product Managers, Engineers, Operations, and Policy teamsTake projects from conceptualization to execution with minimal supervision
Statistical Testing & Efficiency Monitoring:Conduct statistical tests to evaluate the effectiveness of various initiatives
ETL & Data Pipeline Management:Create and maintain ETLs and data pipelines for continuous data integration and analysis
Leadership & Presentation Development:Develop and deliver presentations to Square leadership on fraud detection strategies and outcomes
QualificationsYou Have:A passion for Square's mission5+ years of relevant experience (or masters degree with 3+ years of experience)Self-motivated and able to manage projects from start to finish with minimal supervisionStrong analytical and problem-solving skillsHigh proficiency in SQL and PythonFamiliarity with AWS, GCP, Databricks, Github, Airflow and LookerProven ability to collaborate effectively with cross-functional teamsExperience in risk, trust and safety, payments, or spam prevention
Join us in making a significant impact by ensuring the safety and integrity of Square's platform through innovative fraud detection and prevention strategies.#J-18808-Ljbffr
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.
Job Description
We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. You will play a pivotal role in combating high-risk fraud and scams across our platform, utilizing advanced machine learning and analytical solutions. This position involves end-to-end project ownership, from feature identification to deployment and real-time fraud mitigation.
Key Responsibilities:
Fraud Detection & Prevention:Develop processes to identify and mitigate high-risk fraud and scam activitiesAnalyze and deploy solutions to real-time Square systems to prevent fraud in real-time
Data Analysis & Feature Development:Identify and analyze new fraud detection features using SQL, Databricks, and PythonBuild real-time features and implement them effectively
Model Building & Machine Learning:Collaborate with ML engineers to develop and leverage machine learning modelsEngage in ML model building activities for fraud detection (approximately 20% of the role)
Ad Hoc Fraud Mitigation:Respond to and mitigate real-time fraud attacks as they occur
Reporting & Dashboard Creation:Create and maintain dashboards to monitor key metrics and operational KPIsDevelop comprehensive reporting dashboards for internal use
Cross-functional Collaboration:Work closely with Product Managers, Engineers, Operations, and Policy teamsTake projects from conceptualization to execution with minimal supervision
Statistical Testing & Efficiency Monitoring:Conduct statistical tests to evaluate the effectiveness of various initiatives
ETL & Data Pipeline Management:Create and maintain ETLs and data pipelines for continuous data integration and analysis
Leadership & Presentation Development:Develop and deliver presentations to Square leadership on fraud detection strategies and outcomes
QualificationsYou Have:A passion for Square's mission5+ years of relevant experience (or masters degree with 3+ years of experience)Self-motivated and able to manage projects from start to finish with minimal supervisionStrong analytical and problem-solving skillsHigh proficiency in SQL and PythonFamiliarity with AWS, GCP, Databricks, Github, Airflow and LookerProven ability to collaborate effectively with cross-functional teamsExperience in risk, trust and safety, payments, or spam prevention
Join us in making a significant impact by ensuring the safety and integrity of Square's platform through innovative fraud detection and prevention strategies.#J-18808-Ljbffr