| Job Posting Status: | Approved |
| Internal Status | Not Set |
Organization
| Organization Name | Square |
JOB POSTING INFORMATION
| Position Type: | Professional Experience Year Co-op (PEY Co-op: 12-16 months) | ||||||||
| Job Title: | Hardware ML Data Scientist Intern | ||||||||
| Job Location: | Toronto | ||||||||
| Job Location Type: | Remote | ||||||||
| Number of Positions: | 1 | ||||||||
| Salary: | Salary Not Available, 40 hours per week | ||||||||
| Start Date: | 05/27/2024 | ||||||||
| End Date: | 05/09/2025 | ||||||||
| Job Function: | Engineering | ||||||||
| Job Description: |
Data Scientist Interns 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 and machine learning. You will need to summarize trends and insights through the vast amount of data captured by Square, and develop applicable strategies to grow Squares sellers and their engagement with Square products through the platform. We believe everyone should be able to participate and thrive in the economy. So we're building tools that make commerce easier and more accessible to all. We started with a little white credit card reader but haven't stopped there. Our new reader helps our sellers accept chip cards and NFC payments, and our Cash app lets people pay each other back instantly. We're empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. Let's shorten the distance between having an idea and making a living from it. And make it easier for customers to shop and pay at their favorite businesses. We're here to help sellers of all sizes start, run, and grow their business-and helping them grow their business is good business for everyone. Data Scientists at Square are embedded within product teams and leverage engineering, analytics, and machine learning to empower data-driven decision making in the full lifecycle of product development. As a Hardware Product Data Scientist, you will join the Hardware team for 12-16 months to provide insights about our Sellers in partnership with our Hardware Team. You will help to drive strategic decisions with data, lead growth and experimentation initiatives, and develop automation solutions to personalize product experiences. The Hardware team designs, builds, and delivers the tangible connection to Square to help our customers understand and engage with our products wherever they are, wherever their business takes them. We started by making the Square Reader; the simple and universal way to connect a billion credit cards to the smartphones in everyone's pockets. Then, we extended this idea to our brick and mortar merchants with Square Stand and most recently, Square Register, our first fully integrated point of sale. |
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| Job Requirements: |
You will: Partner with Square's product, engineering,marketing, and finance teams to build tools and make decisions using analytics, statistics, quantitative reasoning, and machine learning. Build self-service data tools that allow us to monitor the health and performance of our business and key product features. Independently research questions related to product experiences and produce recommendations for peers and leadership. Communicate analysis and decisions to peers and leadership in verbal, visual, and written media. Work closely with a product managers, product marketers, designers and engineers to evangelize data best practices and implement analytics solutions Qualifications Pursuing a degree in Mathematics, Statistics, Computer Science, or a related quantitative field with an upcoming graduation of December 2024 through August 2026 Available for a 12-16 month (gap year) internship after your Spring 2024 semester Experience performing data analysis and/or building data systems using Python (pandas, numpy, scikit-learn, etc.) Comfortable working with statistical models in a data rich environment Ability to understand complex business and data systems Ability to clearly communicate complex results to technical and non-technical audiences Ability to quickly and deeply understand our product ecosystem, business, marketing strategy, metrics, and models Bonus skills (but not necessary): Comfortable working with databases via SQL Familiarity with Unix/Linux/OS X CLI tools, version control software (git), and general software development Familiar with data visualization & data communication either via BI tools (Looker, Powerbi, Tableau, etc.) or libraries (Matplotlib, Holoviews, Seaborn, etc.) 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: Python Git Machine learning and statistical modeling frameworks SQL (Snowflake), Looker, Prefect, & Databricks |
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| Preferred Disciplines: |
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| Targeted Co-op Programs: |
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APPLICATION INFORMATION
| Application Deadline: | March 29, 2024 11:59 PM |
| Application Method: | Access applications through Engineering Career Centre |
ORGANIZATION INFORMATION
| Organization: | Square |
| Division: | Square |
ADDITIONAL INFORMATION
| Length of Workterm: | FLEXIBLE PEY Co-op: 12-16 months (range) |
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