Data Scientist, Commerce Platform

Company Description

Since our establishment in 2009, the commerce industry has undergone tremendous changes, and so has Square. After providing a platform for anyone to make payments without missing any sales, we observed sellers being held back by disjointed, outdated products and tools that were incompatible.

Therefore, we ventured into software and started creating integrated, omnichannel solutions – to assist sellers in online sales, inventory management, implementing buy now, pay later functionalities via Afterpay, scheduling appointments, engaging loyal customers, and hiring and paying staff. In all these sectors, we have incorporated financial services tools into point-of-sale operations, allowing business owners to secure a business loan and manage their cash flow from a single platform. Afterpay furthers our aim of providing omnichannel tools that unlock substantial value and growth, empowering sellers to tap into the new generation of shoppers, increase order sizes, and compete on a bigger scale.

Today, we work with sellers of all sizes – large, enterprise-level businesses with complex operations, new sellers, as well as merchants who started with Square and have since expanded. As our sellers continue to grow, so do our solutions. We have a huge opportunity ahead of us. We are building a substantial, meaningful, and enduring business, and we are aiding sellers around the world to do the same.

Job Description

The Data Scientists on the Orders Analytics team work within product teams, utilizing engineering, analytics, statistics, and machine learning to foster data-driven decision-making in product development. Data Scientists enable Square's economic empowerment mission by using data to build understanding and empathy for our customers, which helps us create an impressive product experience.

Your responsibilities will include:

• Collaborating with product stakeholders to identify, prioritize, and answer key questions where analytics can have a substantial impact and produce actionable insights
• Developing tools and resources to promote data access and self-service so your expertise can be utilized where it is most impactful
• Applying a variety of tactics such as statistics, quantitative reasoning, and machine learning, and discerning when simple analytic solutions (e.g. a quick visualization) are preferable to complex ones (e.g. machine learning).
• Communicating analyses and decisions to high-level stakeholders in verbal, visual, and written formats
• Contributing to the data strategy of the platform and persuading stakeholders to make informed architecture and design decisions that affect data at Square

Qualifications

You have:

• 3+ years of product-focused data science experience or equivalent
• Proficiency in SQL
• Experience in performing data analysis and machine learning using Python or R
• Experience in 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 if:

• You have a degree (B.S., M.S., PhD.) in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical field
• You have experience with a BI tool such as Looker or Tableau
• You have 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
• Looker, Amplitude, & Tableau for data visualization

Additional Information

Block adopts a market-based approach towards pay, and salary may vary according to your location. Canadian locations are categorized into one of two zones based on a cost of labor index for that respective geographic area. The successful candidate's starting pay will be determined based on their skills, experience, qualifications, work location, and market conditions. These ranges may be adjusted in the future.

CA-A: CAD $104,100.00 - CAD $156,100.00
CA-B: CAD $100,400.00 - CAD $150,600.00