Data Scientist, Customer Engineering

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. 

Job Description
The Data Scientist role in the Customer Engineering team plays a pivotal role at the intersection of AI/ML engineering, solution development, and go-to-market strategy. We are looking for an experienced data scientist who excels in hands-on problem-solving, can lead technical initiatives, and can serve as a trusted advisor to both internal teams and customers.
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.
Beyond solution development, you will work directly with clients in various industries as the DataRobot product and data science subject matter expert.
This role is ideal for a motivated data scientist with proven experience who wants to work hands-on with Python, pandas, and modern AI tooling while making a significant impact on customer success and AI adoption. If you thrive in a fast-paced, highly autonomous environment and want to build AI solutions that truly scale, we'd love to hear from you Key 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.
• 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 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:

• 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.
• 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. We're looking for someone who 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

Why Join Us?

• Hands-on, high-impact work - you'll be building real, production-ready AI solutions that customers actually use.
• 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 opportunities to grow and expand your skills.
• Clear career trajectory - 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 Principles:

• Wow Our Customers
• Set High Standards
• Be Better Than Yesterday
• Be Rigorous
• Assume Positive Intent
• Have the Tough Conversations
• Be Better Together
• Debate, Decide, Commit
• Deliver Results
• Overcommunicate

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit. 

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. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

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