Data Scientist, Commerce Platform

**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.
• 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.

Data Scientists on the Orders Analytics team are embedded within product teams and leverage engineering, analytics, statistics, and machine learning to empower data-driven decision making in product development. Data Scientists support Square’s mission of economic empowerment, by using data to build understanding and empathy with our customers, enabling us to build a remarkable product experience.

You will

• Partner with the product stakeholders to identify, prioritize, and answer the most important questions where analytics will have a material impact and produce actionable insights
• Develop tools & resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
• Communicate analysis and decisions to high-level stakeholders in verbal, visual, and written media
• Contribute to the data strategy of the platform and influence stakeholders to make well-informed architecture and design decisions that affect data at Square
• *Qualifications**:

You have

• 3+ years of product-focused data science experience or equivalent
• Fluency in SQL
• Experience performing data analysis and machine learning using Python or R
• Experience using statistics to inform decision making
• Ability to understand complex business and data systems; versatility and willingness to learn new technologies on the job

Even better

• A degree (B.S., M.S., PhD.) in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical field
• Experience with a BI tool such as Looker or Tableau
• Experience with data warehouse design, development and best practices

Technologies we use and teach

• SQL (Snowflake)
• Python (numpy, pandas, scikit-learn, etc.)
• Machine Learning (e.g. regression, ensemble methods, neural networks, etc.)
• Statistics (Bayesian methods, experimental design, causal inference)
• Snowflake
• Google Cloud Platform: BigQuery, Dataflow, and Composer
• Airflow & Prefect for ETL
• Looker, Amplitude, & Tableau for data visualization
• *Additional Information**:

CA-A: CAD $104,100.00 - CAD $156,100.00

CA-B: CAD $100,400.00 - CAD $150,600.00

To find a location’s zone designation, please refer to this resource.

We have listed some of our common hiring locations. Depending on the cost of labor in the relevant geographic area, state work locations that are approximately 50 Kilometers outside of the metro area listed may be aligned to a different zone. These zones may be modified in the future. Please speak with a recruiter for additional information.

• *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?_**

• *Perks**

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

• Healthcare coverage
• Retirement Plans
• Employee Stock Purchase Progr