Top Benefits
Medical, Dental & Vision Insurance
Flexible Time Off Program
Paid Holidays
About the role
Who you are
- 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
- 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
What the job involves
- 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!
- 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
Benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)
- Work from Home Opportunities
- A World-class Team
- Company Outings
- Open Door Policy
Top Benefits
Medical, Dental & Vision Insurance
Flexible Time Off Program
Paid Holidays
About the role
Who you are
- 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
- 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
What the job involves
- 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!
- 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
Benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)
- Work from Home Opportunities
- A World-class Team
- Company Outings
- Open Door Policy