DataRobot is looking for an experienced Data Scientist to join their Customer Engineering team to design, develop, and deliver production-ready AI solutions, with a focus on SAP workflows, to accelerate customer adoption of the DataRobot platform.
Requirements
- Strong Python ecosystem expertise with the ability to design, develop, and troubleshoot complex ML workflows using libraries like pandas, NumPy, scikit-learn, and web server tools like FastAPI.
- 3-5 years of experience in data science, machine learning, or AI development with a proven track record of delivering production solutions.
- Experience with ML model development, deployment, and evaluation. You should be comfortable leading data-to-insights projects and optimizing predictive models.
- Strong data engineering capabilities, including working with structured/unstructured data, feature engineering, and optimizing ML pipelines.
- Proficiency in writing efficient, maintainable, and well-structured code, with an emphasis on reusability, scalability, and production readiness.
- Experience with software engineering best practices, including containerization (Docker), CI/CD automation, and cloud-based ML deployment.
- Experience with APIs, SDK development, or ML platform integrations.
Responsibilities
- Design and develop sophisticated, production-ready assets that accelerate AI/ML adoption for customers, ranging from reusable solution templates to deployable frameworks.
- Lead the implementation of AI/ML workflows using Python, pandas, and modern AI tooling, ensuring they are scalable, maintainable, and customer-ready.
- Establish and champion engineering best practices to improve performance, scalability, and maintainability of AI/ML solutions.
- Work within existing infrastructure to support scalable AI deployments, including CI/CD automation, API integrations, and containerized environments (Docker, Kubernetes).
- Create comprehensive testing strategies and implement automated tests for AI/ML workflows.
- Address complex real-world deployment challenges, including monitoring, logging, and improving reliability in AI/ML workflows.
- Serve as a technical liaison in customer engagements, representing the DataRobot product to various personas from data scientists to C-level executives.
Other
- Lead cross-functional collaboration with product, sales, and marketing teams to scale high-impact solutions.
- Lead proof of value processes and quantify the business impact of DataRobot solutions.
- Ensure the success of our customers by collaborating with business stakeholders to ensure that AI solutions deliver successful business outcomes
- Stay ahead of industry trends, continuously refining our approaches and advocating for best practices in AI/ML engineering.
- Work closely with enablement teams to develop documentation, content, and training materials that scale adoption of our solutions.
