Analytical and Problem solving, C Programming, C++, Design, Effective communication skills, Java Programming, Kotlin, Python Programming, Scala Programming, Software Development
Who we are
At Domino Data Lab, we have an ambitious vision for data science. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy predictive models. Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next.
What we are building
The Data product team at Domino is on a mission to make access to data, using the Domino platform, seamless and comprehensive such that data scientists can incorporate data into their workflows without worrying about how. We take satisfaction in making data access so ubiquitous that data scientists can derive insights and produce predictions knowing that they have the full availability of data, whether internal or external at their disposal for any scenario.
The team is currently made up of many strong engineers with a variety of different backgrounds. We have everything from new grads to senior engineers specializing in backend coding and architecture. We are particularly proud of our collaborative culture and our emphasis on building things the right way while maintaining a fast paced delivery timeline.
What your impact will be
In your first year, you will be responsible for the development of the Domino Code Assist (DCA) feature and its evolution as shaped by customer requirements and the direction from product including the architecture of it along with its integration with the larger Domino data ecosystem.
What we look for in this role
What we value
Domino powers model-driven business for the world’s most advanced enterprises, including over 20% of the Fortune 100. Our Enterprise MLOps platform speeds up the development and deployment of data science work while increasing collaboration and governance, to scale data science into a competitive advantage.