Machine Learning Modeler, Measurement Data Science

  • San Francisco, CA
  • Employees can work remotely
  • Full-time
  • Position open to remote: Yes

Company Description

Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.

Job Description

As a MLE within the Measurement Data Science team, you will work collaboratively with the team on applying novel machine learning algorithms and data science methods toward new products that empower our internal business stakeholders. The Measurement team quantifies the impact of Square’s business initiatives through machine learning models in areas such as marketing attribution modeling and forecasting value estimation. We empower stakeholders in areas such as marketing, finance and strategy to make data-driven decisions that will help Square grow.

Measurement Data Science is part of the Growth Data Science team. We partner with business, product, operations and engineering teams to guide better decisions using machine learning. We’re a passionate team of specialists, statisticians, and optimizers who are resourceful in distilling questions, wrangling data, and driving impactful business decisions.

You Will:

  • Collaborate with machine learning engineers and data scientists to train, deploy, and test machine learning models using state-of-the-art techniques.

  • Help build the next generation of data products at Square

Qualifications

You Have: 

  • 3-5 years of relevant industry experience

  • A graduate degree in data science, machine learning, computer science, statistics, information science, or a similar technical field.

  • Ability to produce scalable and robust production-quality code incorporating testing, evaluation, and monitoring.

  • Experience in designing and productionizing large-scale distributed systems built around machine learning models and big data.

  • Experience with cloud computing platforms is preferred (i.e. Google Cloud Platform)

  • Experience with growth (acquisition, engagement, retention) and modeling on marketing data (i.e. attribution, propensity to convert, customer journey mapping, lifetime value, incrementality) is a plus.

Technologies we use:

  • Python, Google Cloud Platform, Snowflake, Airflow

Additional Information

At Square, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible.

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