Data Scientist, Square for Retail
- Full-time
- Alternate Location: San Francisco, United States
Company Description
Job Description
Data Scientists at Square are embedded within product teams and leverage engineering, analytics, statistics, and machine learning to empower data-driven decision making in the full life cycle of product development. From the cozy local wine store to the trendy sneaker pop-up, the Retail team at Square is finding new ways to equip retail sellers and their staff with the tools they need to succeed. Square’s mission is economic empowerment, and Data Scientists support this by using data to understand and empathize with our customers, thereby 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 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).
Communicate analysis and decisions to high-level stakeholders in verbal, visual, and written media
Contribute to the data strategy of product engineering, influencing engineers 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; A/B testing experience a must (e.g. A/B testing)
Ability to understand complex business and data systems; versatility and willingness to learn new technologies on the job
Even better:
An advanced 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
Looker, Amplitude, Tableau
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