Data Science Software Engineer

Job Description:

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. 

The Data Science Software Engineer role in the Customer Engineering team is an exciting opportunity to work at the intersection of AI/ML engineering, solution development, and go-to-market strategy. We're looking for a data science software engineer who is ambitious and eager to learn, grow and challenge themselves with guidance from a mentor who thrives in a fast-paced, ambiguous environment who rolls up their sleeves to solve problems with code, enjoys shipping high quality software loved by users, and is eager to grow their skillset in AI/ML.

Your work will focus on building reusable, production-ready AI solutions that accelerate customer adoption of the DataRobot platform. This means:

• Developing scalable, productionizable AI assets that customers can confidently integrate into their workflows.

• Ensuring AI solutions are resilient, maintainable, and easy to deploy, minimizing operational friction.

• Engaging with early-adopter customers and internal teams to refine and validate solutions.

• Collaborating with product, sales, marketing, and enablement teams to drive solution awareness and usage at scale.

• Ship fast, learn fast, and help customers see value fast

Beyond developing and refining AI solutions, you will also help prioritize future investments by identifying high-impact opportunities and gathering customer feedback to refine existing assets.

The Data Science Software Engineer role is an exciting opportunity to work at the intersection of AI/ML engineering, solution development, and backend infrastructure. We are looking for a highly adaptable engineer who thrives in a dynamic environment, has had some exposure to data science workflows, and is interested in learning more about data science and machine learning. You will bridge the gap between our data science team and production systems, focusing on building the backend infrastructure that supports our data science initiatives within SAP environments. If you thrive in a fast-paced, highly autonomous environment, enjoy solving complex problems, and want to build AI solutions that truly scale, we’d love to hear from you!

Key Responsibilities:

• Develop and maintain scalable, production-ready backend systems that support our data scientists' AI/ML workflows

• Build reusable infrastructure components that accelerate the integration of AI solutions into SAP environments

• Design and implement data pipelines that connect various data sources to our ML models

• Ensure AI solutions are resilient, maintainable, and easy to deploy, minimizing operational friction

• Collaborate with data scientists to understand their infrastructure needs and translate them into technical solutions

• Work on engineering challenges during high-intensity project phases, balanced with innovation and improvement work during quieter periods

• Implement and refine engineering best practices to improve performance, scalability, and maintainability of our AI/ML solutions

• Support and troubleshoot production systems to ensure reliability and optimal performance

• Design and implement CI/CD pipelines for automated testing, building, and deployment of ML models

• Containerize applications and manage infrastructure as code to ensure consistent environments

• Monitor system performance and implement logging strategies for ML applications

What this Role is Not:

• A SWAT demo team—while you will be customer-facing, this role is about building reusable solutions, not one-off demos.

• A technical marketing role—you’ll collaborate with marketing but won’t be driving content strategy.

• A pure research role—we need hands-on builders who can ship working solutions that make an impact.

Knowledge, Skills and Abilities:

• 4+ years of experience with python for backend services and/or da