Data Scientist, Ecommerce
- Full-time
Company Description
Job Description
This role will be focused on working with the product team to build and improve the Square Ecommerce experience. The ideal candidate understands and loves seeing the impact of their work translate into product changes and improvements. The role will involve working on the product from end-to-end, thinking about everything from how a merchant sets up their online presence to how a shopper browses online. You’ll be formulating analyses using a rich dataset to track feature usage and performance, identify potential gaps and opportunities, and make recommendations to stakeholders. In addition to the day-to-day tasks, this role will challenge you to think strategically and contribute to high-level discussions with senior leadership and peers across Square.
You will:
Partner with product managers, engineers and senior strategy leaders to improve the product. Make sure the right questions are being asked, solicit feedback, and iterate until you reach meaningful conclusions backed by solid analysis
Develop tools & resources to empower data access and self-service so your advanced expertise can be leveraged where it is most impactful
Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning; discerning where simple analytics solutions (e.g. a quick visualization) are preferable to complex solutions (e.g. machine learning).
Contribute to the data strategy of product engineering, influencing engineers to make well-informed architecture and design decisions that affect data at Square
Break down nuanced, complex data for stakeholders, keeping context at the forefront of communication
Be faced with tough, open-ended questions. You’ll need to stay focused and be judicious about where you spend your time when there are endless possibilities
Roll up your sleeves to solve problems and challenge assumptions. Don’t be afraid to speak up when you’ve formulated a well substantiated opinion
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
Ability to understand complex business and data systems; versatility and willingness to learn new technologies on the job
Great product instincts and natural curiosity
Ability to manage competing priorities from multiple stakeholders, develop trust, and accept feedback
Confident and thoughtful communication style
Excellent troubleshooting skills and attention to detail
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 (pandas, scikit-learn, etc.)
ETL best practices
Looker, Amplitude
Additional Information
Perks
At Square, 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