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Data Scientist, Commerce Platform
Company | Square |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Software Development |
Expires | 2023-09-28 |
Posted at | 8 months ago |
Company Description
- Develop tools & resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
- Contribute to the data strategy of the platform and influence stakeholders to make well-informed architecture and design decisions that affect data at Square
- 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
- 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
- Fluency in SQL
- Experience performing data analysis and machine learning using Python or R
- Experience using statistics to inform decision making
- 3+ years of product-focused data science experience or equivalent
- Ability to understand complex business and data systems; versatility and willingness to learn new technologies on the job
- Experience with a BI tool such as Looker or Tableau
- Experience with data warehouse design, development and best practices
- A degree (B.S., M.S., PhD.) in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical field
- Statistics (Bayesian methods, experimental design, causal inference)
- Snowflake
- Looker, Amplitude, & Tableau for data visualization
- Python (numpy, pandas, scikit-learn, etc.)
- SQL (Snowflake)
- Airflow & Prefect for ETL
- Google Cloud Platform: BigQuery, Dataflow, and Composer
- Machine Learning (e.g. regression, ensemble methods, neural networks, etc.)
- Paid time off
- Learning and Development resources
- Wellness perks
- Healthcare coverage
- Retirement Plans
- Employee Stock Purchase Program
- Paid parental leave
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