Data Science Software Engineer Engineering Group ...

OverviewDataRobot 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 are looking for a data science software engineer who is ambitious, eager to learn, grow and challenge themselves with guidance from a mentor who thrives in a fast-paced, ambiguous environment, and who enjoys shipping high quality software loved by users. You will grow your skillset in AI/ML.Your work will focus on building reusable, production-ready AI solutions that accelerate customer adoption of the DataRobot platform.ResponsibilitiesDeveloping 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 help prioritize future investments by identifying high-impact opportunities and gathering customer feedback to refine existing assets.Role ContextThe 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!Knowledge, Skills and Abilities4+ years of experience with Python for backend services and/or data science workflowsProficiency in writing efficient, maintainable, and well-structured code, with an emphasis on reusability and scalabilityExperience with API development, preferably using FastAPI, Flask, or similar frameworksExperience with containerization technologies (Docker) and orchestration (Kubernetes)Familiarity with Infrastructure as Code tools (Terraform, CloudFormation, Pulumi)Experience implementing CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)Understanding of data engineering principles, including ETL processes and data pipeline developmentAbility to work in an environment with varying workloads - comfortable with both focused project sprints and periods of more exploratory workHighly coachable and eager to learn—we prioritize raw ability, curiosity, and work ethic over specific years of experience.Strong problem-solving skills and the ability to adapt to shifting priorities—we’re looking for someone who thrives in a fast-moving, high-growth, and high-autonomy environment.Nice to HaveExperience with cloud platforms (AWS, Azure, GCP) for AI/ML infrastructureFamiliarity with SAP integration technologiesKnowledge of machine learning operations (MLOps) practicesFamiliarity with SAP environments or enterprise system integrations is a plusUnderstanding of version control for data and modelsExposure to generative AI solutions like RAG, finetuning, etc.Why Join Us?Hands-on, high-impact work—you won’t just be running experiments; you’ll be building real, production-ready AI solutions.Small, elite team with direct influence—you’ll work closely with product, engineering, and go-to-market teams to shape AI adoption strategies.Fast learning environment—we invest in our people, providing mentorship and opportunities to grow into senior roles quickly.Career advancement opportunities—whether you want to specialize in data science, transition into engineering, or take on leadership, we’ll help you get there.Work on cutting-edge AI solutions that have real-world impact and are used by enterprises worldwide.This is a unique opportunity to build AI applications, ensuring that data scientists and developers can seamlessly create, customize, and deploy AI solutions at scale. If you’re passionate about impacting the future of AI adoption, we’d love to hear from you.The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!DataRobot Operating PrinciplesWow Our CustomersSet High StandardsBe Better Than YesterdayBe RigorousAssume Positive IntentHave the Tough ConversationsBe Better TogetherDebate, Decide, CommitDeliver ResultsOvercommunicateThis is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to providing reasonable accommodations to applicants with physical and mental disabilities. For more information, please see the United States Department of Labor’s EEO poster and EEO poster supplement.All applicant data submitted is handled in accordance with our Applicant Privacy Policy. #J-18808-Ljbffr

Created: 2025-09-17