Senior Data Scientist

Join our team

GoDaddy is looking for a Senior Data Scientist to join our Machine Learning (ML) platform team. We're building self-service ML platform capabilities that empower product teams to build and deploy models that improve GoDaddy experiences

As a Senior Data Scientist, you will build models that improve customer experiences across GoDaddy's various business units. Some example applications that have been built and deployed using our platform include call center operation models, customer lifetime value models, and order fraud detection models. In addition, to growing the ML platform, you will help design and build self-service components of our ML Platform that empower teams across the company to build, deploy, and maintain ML models.

Location

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

 This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or offsites. Your hiring manager can share more about this role’s hybrid or remote designation.

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

What you'll get to do…

• Understand sophisticated business problems, identify challenges, and formulate the ML approaches
• Build models to solve business problems across various business units at GoDaddy
• Build and maintain a ML feature store for use across GoDaddy
• Partner with teams across the company on applications that require ML solutions
• Design and implement improvements to our batch and real-time data streams that feed the feature store
• Collaborate on a high impact, mission-driven Scrum team
• Participate in DevOps, release, and on-call activities in support of your code
• Contribute to technology working groups and internal open source

 Your experience should include...

• BS in Computer Science, Computer Engineering, or equivalent technical degree, with excellent computer science fundamentals.
• 3+ years of experience as a full-stack Data Scientist or Machine Learning Engineer. 
• Proficiency in Python.
• Hands-on experience in applied Machine Learning.
• Partner with teams across the company on applications that require ML solutions. 
• Passion for solving interesting and meaningful real-world problems using principled techniques and practices.
• Passion for building great software with solid test infrastructure.
• Embrace for collaboration and teamwork.

You might also have…

• MS in Computer Science or equivalent quantitative fields
• Experience in Deep Neural Network technologies.
• Experience in A/B testing.
• Experience in data engineering and with related technologies, like Amazon EMR, Spark, and Airflow.
• Experience with infrastructure technology, like AWS and Kubernetes.
• Experience with CI/CD
• Experience building and maintaining a ML feature store
• Experience in an Agile software development environment.

We've got your back... Enjoy our many benefits (My Wallet), including paid time off, 401k, equity grants and parental leave. Join one of our employee resource groups (Culture). Continue to have a side hustle, if you have one (we love entrepreneurs, remember?). Most importantly, come as you are and make your own way. 

About us... GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us (https://aboutus.godaddy.net/about-us/overview/default.aspx.) 

GoDaddy is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, ethnicity, national origin, citizenship, religion, creed, sex, sexual orientation, gender, gender identity or expression (including against any individual that is transitioning, has transitioned, or is perceived to be transitioning), marital status or civil partnership/union status, physical or mental disability, medical condition, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.

If you need help completing an application for a position with GoDaddy, please reach out to our Recruiting Team at myrecruiter@godaddy.com.

 GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.