Machine Learning Modeler, Human Outreach Recommendations
- Toronto, Canada
- Employees can work remotely
- Position open to remote: Yes
As a Machine Learning Modeler within the Growth Data Science team focused on Human Outreach Recommendations, you will lead projects that help Square grow through remarkable customer experiences with our Sales and Account Management teams. The team exists to increase data driven intelligence and automation in the sales cycle, both for existing and prospective Square sellers. Using machine learning to power the best product, feature and content recommendations, we arm our Account Executives and Account Managers with the knowledge to serve Square’s customers using a unique and personalized approach. Our algorithms obtain value from our unique, rich, and growing data. We partner with business, product, operations and engineering teams to guide better decisions. We’re a passionate team of specialists, statisticians, and optimizers who are resourceful in distilling questions, wrangling data, and driving impactful business decisions.
Lead, design and develop scalable ML models to support the explosive growth of Square’s Sales and Account Management teams as they serve our rapidly expanding customer base.
Own machine learning models end-to-end, from the initial idea stage to live experimentation and iteration.
Collaborate with engineers, analysts, data scientists and other Machine Learning Engineers to train, deploy, and test machine learning models using state-of-the-at techniques.
Help build the next generation of data products at Square.
3-5 years of relevant industry experience.
A quantitative degree such as software engineering, computer science, machine learning, artificial intelligence, mathematics, economics or a similar technical field. Graduate experience is strongly preferred but not required.
Experience with cloud computing platforms, such as AWS, Google Cloud or Azure.
Ability to produce scalable and robust production-quality code incorporating testing, evaluation, and monitoring.
Experience with designing and evaluating A/B tests for newly launched models and data products.
Ability to create interactive data visualizations with D3.js or equivalent is a big plus.
Technologies we use:
Python (numpy, pandas, sklearn, xgboost, TensorFlow, etc.)
Google Cloud Platform, SQL (Snowflake)
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