Machine Learning Modeler, Growth Job Vacancy in Square San Francisco, CA – Updated today

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Full Details :
Company Name : Square
Location : San Francisco, CA
Position :

Job Description : Company Description

Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.

Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.

There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.

Job Description
As a MLE within the Growth Data Science team, you will lead projects that help with Square’s growth. The team exists to surface the right messages to the right sellers at the right time across all our go-to-market channels (web app, in-app, notifications, sms, email, mail) and products. We provide sellers with remarkable personalized experiences using machine learning/deep learning to power the best product/feature/content recommendations.
Our algorithms obtain value from our unique, rich, and growing data. We partner with business, product, operations and engineering teams to guide better decisions, automated and human, using modeling and 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:
Lead and drive cross functional machine learning/data science projects from beginning to end: build relationships with partner teams, frame and structure questions, collect and analyze data, research, prototype, and build out data science pipelines and models in production, as well as summarize and present methodology and key insights
Use and learn a diverse set of techniques spanning machine learning (including deep learning), causal inference, and other forms of statistical modeling to solve import business and product problems
Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models
Help build the next generation of data products at Square

Qualifications
You Have:
5+ years industry experience in data science or machine learning-focused roles
Practical experience and best practices in several of the following areas: machine learning, statistics, deep learning, natural language processing, informational retrieval to solve real world problems
Experience working with product, design, and engineering to prioritize, scope, design, and deploy ML models.
Proficient in one of the following languages: Java, Python, Scala, or C++.
Experience in solving real world problems using one of the frameworks: PyTorch, Mxnet, Jax or related frameworks
Familiarity with Linux/OS X command line, version control software (git), and general software development
The ability to clearly communicate complex results to technical and non-technical audiences
Excellent problem solving skills
A strong desire to perform and grow in your role
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Perks
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
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD54566975, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD54566975 is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

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