Data Science Intern (Summer 2023)

Company Description

Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment 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, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And 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 all in one place.

Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together. 

There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.

Job Description

Data Scientists Intern at Square leverage analytics, machine learning, and data engineering to empower data-driven decision-making in product strategy development. Your role will be a hybrid of roles in product analytics, data engineering, machine learning and experimentation. You will need to summarize trends and insights through the vast amount of data captured by Square, design and execute experiments to verify your hypothesis, and develop applicable strategies to grow Squares sellers and their engagement with Square products through the platform.

You will:

• Partner with Square's product, engineering, design, marketing, and finance teams to make decisions using a diverse set of tactics, including statistics, quantitative reasoning, and machine learning.
• Independently research questions related to our most important product experiences and produce recommendations for peers and leadership.
• Communicate analysis and decisions to peers and leadership in verbal, visual, and written media.
• Build self-service data tools that allow us to monitor the health and performance of our business and key product features.
• Work closely with a product managers, product marketers, designers and engineers to evangelize data best practices and implement analytics solutions

Qualifications

You have:

• Pursuing a degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field with an upcoming graduation of December 2023 through August 2025
• Available for a 12 week internship in Summer 2023
• Experience performing data analysis using Python (pandas, scikit-learn, etc.), R and/or SQL
• Experience communicating analysis and decisions to peers and leadership in verbal, visual, and written media
• Experience working embedded within a growth or product team
• Bonus skills (but not necessary): 
  • Experience designing and analyzing A/B experiments
  • Familiarity with ETL development and best practices
  • Experience applying both data-backed heuristics and machine-learning techniques to solve personalization and recommendation problems

Technologies we use and teach:

• SQL (Snowflake, BigQuery), Airflow, and Looker
• Python and R
• Machine learning and statistical modeling frameworks

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 hourly pay will be determined based on the candidate's work location and may be modified in the future.

Zone A: USD $48.00
Zone B: USD $45.60
Zone C: USD $43.20
Zone D: USD $40.80

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. 

Benefits include the following:

• Healthcare coverage
• 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
• Learning and Development resources
• Paid Life insurance, AD&D. and disability benefits 
• Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources 

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.

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.

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.