DataRobot is hiring a Data Scientist, Customer Engineering

DataRobot is looking for a Data Scientist, Customer Engineering to join a small, elite team at the intersection of AI/ML engineering, solution development, and go-to-market strategy. Your work will focus on designing, developing, and delivering production-ready AI solutions that accelerate customer adoption of the DataRobot platform, with a particular focus on SAP workflows. This role is ideal for a motivated data scientist who wants to work hands-on with Python, pandas, and modern AI tooling while making a significant impact.

What You'll Do

• 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 like Docker and Kubernetes.
• Create comprehensive testing strategies and implement automated tests for AI/ML workflows.
• Lead cross-functional collaboration with product, sales, and marketing teams to scale high-impact solutions.
• 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.
• 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.

What We're Looking For

• 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. 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.
• Proven experience in consultative sales processes in the data/analytics marketplace, with the ability to translate complex technical concepts into business value.
• Excellent communication skills, with the ability to influence stakeholders at various technical and business levels.
• Self-motivated, driven, and eager to take on challenges. Thrives in a fast-moving, high-growth, and high-autonomy environment.

Nice to Have

• Experience with SAP workflows and integration points.
• Experience with cloud platforms (AWS, Azure, GCP) for AI/ML deployment.
• Strong knowledge of automated testing and test-driven development.
• Familiarity with generative AI solutions like RAG, finetuning, etc.
• Experience with DataRobot platform or similar enterprise AI platforms.
• Masters' degree in Data Science, Computer Science, or related field.
• Experience presenting at conferences or creating technical content.

Technical Stack

• Python, pandas, NumPy, scikit-learn, FastAPI
• Docker, Kubernetes, CI/CD automation
• APIs, SDK development
• SAP workflows
• AWS, Azure, GCP

Team & Environment

You'll join a small, elite Customer Engineering team, working closely with product, sales, and marketing teams.

Benefits & Compensation

• Medical, Dental & Vision Insurance
• Flexible Time Off Program
• Paid Holidays
• Paid Parental Leave
• Global Employee Assistance Program (EAP)

DataRobot is proud to be 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.