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Senior Data Scientist, Risk

4 months ago

Boston, United States Square Full time
Job DescriptionJob DescriptionCompany 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 activities.

    • Analyze 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 Python.

    • Build real-time features and implement them effectively.

 

  • Model Building & Machine Learning:

    • Collaborate with ML engineers to develop and leverage machine learning models.

    • Engage 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 KPIs.

    • Develop comprehensive reporting dashboards for internal use.

 

  • Cross-functional Collaboration:

    • Work closely with Product Managers, Engineers, Operations, and Policy teams.

    • Take 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.

Qualifications

You Have:

  • A passion for Square's mission

  • 5+ 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 supervision

  • Strong analytical and problem-solving skills

  • High proficiency in SQL and Python

  • Familiarity with AWS, GCP, Databricks, Github, Airflow and Looker

  • Proven ability to collaborate effectively with cross-functional teams

  • Experience 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.



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 $142,000 - USD $213,000
Zone B: USD $134,900 - USD $202,300
Zone C: USD $127,800 - USD $191,600
Zone D: USD $120,700 - USD $181,100

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 

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.

While there is no specific deadline to apply for this role, on average, U.S. open roles are posted for 70 days before being filled by a successful candidate.