Block
Our purpose is economic empowerment.
Remote

Senior Data Scientist - Risk & Fraud

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Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
Check out our locations, benefits, and more at cash.app/careers.
Job Description
The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you'll be embedded in the Risk & Fraud organization and work closely with machine learning, product management as well as other cross-functional partners to drive strategy using a variety of data science techniques and own north star metric monitoring. Because our risk and fraud systems play such a critical role to the company and to protecting our users, a sense of urgency and appreciation for how our work impacts the customer experience is absolutely critical for this position.
As a Data Scientist you will:

  • Partner directly with the Cash App Risk & Fraud org, working closely with machine learning, operations, engineers, product, legal, and compliance teams
  • Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders
  • Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior
  • Design and analyze A/B experiments to evaluate the impact of changes and optimize our risk actions
  • Work with engineers to log new, useful data sources to reflect our risk and product features
  • Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
  • Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
  • Build and share data visualizations and self-serve dashboards for your partners
  • Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis


Qualifications
You have:

  • Previous exposure to or interest in areas like risk, fraud, statistical reporting methods, or regulatory data science
  • A bachelor degree in statistics, data science, or similar STEM field with 4+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role
  • Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
  • Experience with scripting and data analysis programming languages, such as Python or R
  • Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities


Technologies we use and teach:

  • SQL, Snowflake, etc.
  • Python (Pandas, Numpy)
  • Tableau, Airflow, Looker, Mode, Prefect


Qualifications
You have:

  • Previous exposure to or interest in areas like risk, fraud, statistical reporting methods, or regulatory data science
  • A bachelor degree in statistics, data science, or similar STEM field with 4+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role
  • Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
  • Experience with scripting and data analysis programming languages, such as Python or R
  • Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities


Technologies we use and teach:

  • SQL, Snowflake, etc.
  • Python (Pandas, Numpy)
  • Tableau, Airflow, Looker, Mode, Prefect
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What are Block Perks + Benefits

Block Benefits Overview

At Block, we want to provide you with benefits, perks, and offerings that empower you to make choices for your life and what matters to you. We understand the importance of having quality care. So, whatever stage of life you’re in, we offer coverage and plans to support total health — physical, mental, and financial — for you and your family.

Culture
Volunteer in local community
Partners with nonprofits
OKR operational model
Team based strategic planning
Open office floor plan
Employee resource groups
Employee-led culture committees
Hybrid work model
Flexible work schedule
Remote work program
Diversity
Dedicated diversity and inclusion staff
Mandated unconscious bias training
Diversity employee resource groups
Hiring practices that promote diversity
Diversity recruitment program
Health Insurance + Wellness
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Wellness programs
Mental health benefits
Wellness days
Abortion travel benefits
Financial & Retirement
401(K)
401(K) matching
Company equity
Employee stock purchase plan
Performance bonus
Pay transparency
Child Care & Parental Leave
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Fertility benefits
Vacation + Time Off
Generous PTO
Paid holidays
Paid sick days
Flexible time off
Floating holidays
Bereavement leave benefits
Office Perks
Company-sponsored outings
Free snacks and drinks
Some meals provided
Company-sponsored happy hours
Onsite office parking
Relocation assistance
Fitness stipend
Professional Development
Job training & conferences
Lunch and learns
Promote from within
Mentorship program
Online course subscriptions available
Customized development tracks
Personal development training
Virtual coaching services
Apprenticeship programs

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