Data Scientist, Customer Success

  • San Francisco, CA, United States
  • Full-time
  • Alternate Location: Atlanta, United States

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.

To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, 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

The Customer Success Operations team manages the day-to-day operations of the CS organization (Workforce Management, Vendor Management, Tools/Infrastructure), as well as identifying, designing and implementing strategic projects to improve the performance (quality and efficiency) of our CS team. We are a data-driven team: data engineering, data science, and analytics is central to everything we do and underpins all of the functions mentioned above. 

As a Data Scientist at Square, you will lead projects that derive value from our unique, rich, and rapidly growing data. We’re a passionate team of hackers, statisticians, and optimizers who are resourceful in distilling questions, wrangling data, and driving decisions. 

You will become an integral part of Square and will develop the core of our customer understanding. Those solutions will help bring to light actionable insights to improve business decisions and provide better experiences for our customers. Our tech stack currently includes GCP, Python, Looker, and SQL.

You will:

  • Drive cross functional analytics projects from beginning to end: build relationships with partner teams frame and structure, collect and analyze data, as well as summarize and present key insights in support of decision making

  • Work with engineers to evangelize data best practices and implement analytics solutions 

  • Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models 

  • Use your experience in analytics tools and scientific rigor to produce actionable insights

  • Communicate key results to senior management in verbal, visual, and written media 

Qualifications

  • 3+ years of analytics experience and a Bachelor’s degree or equivalent

  • Fluency in SQL, Python, and Machine Learning, with experience exploring and understanding large, complex datasets & data systems

  • Experience working with technical and non-technical partners, including creatives and product marketing managers

  • Experience working on business and product initiatives focused on growth and retention

  • Familiarity with statistical and machine-learning techniques to solve practical business problems such as hypothesis testing, cross-selling, and predicting churn

  • Experience maintaining a backlog and performing independently

Technologies we use:

  • Python (numpy, pandas, sklearn)

  • Snowflake SQL

  • Machine Learning (e.g. regression, ensemble methods, etc.)

  • Looker

Additional Information

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, veteran status, 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, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Perks

We want you to be well and thrive. Our global benefits package includes:

  • Healthcare coverage
  • Retirement Plans
  • Employee Stock Purchase Program
  • Wellness perks
  • Paid parental leave
  • Paid time off
  • Learning and Development resources

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.

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