DataRobot
Data Science Software Engineer Engineering Group Boston, MA, US
DataRobot, Boston, Massachusetts, us, 02298
Overview
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. 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. Responsibilities
Developing 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 Context
The 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, wed love to hear from you! Knowledge, Skills and Abilities
4+ years of experience with Python for backend services and/or data science workflows Proficiency in writing efficient, maintainable, and well-structured code, with an emphasis on reusability and scalability Experience with API development, preferably using FastAPI, Flask, or similar frameworks Experience 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 development Ability to work in an environment with varying workloads - comfortable with both focused project sprints and periods of more exploratory work Highly coachable and eager to learnwe prioritize raw ability, curiosity, and work ethic over specific years of experience. Strong problem-solving skills and the ability to adapt to shifting prioritieswere looking for someone who thrives in a fast-moving, high-growth, and high-autonomy environment. Nice to Have
Experience with cloud platforms (AWS, Azure, GCP) for AI/ML infrastructure Familiarity with SAP integration technologies Knowledge of machine learning operations (MLOps) practices Familiarity with SAP environments or enterprise system integrations is a plus Understanding of version control for data and models Exposure to generative AI solutions like RAG, finetuning, etc. Why Join Us?
Hands-on, high-impact workyou wont just be running experiments; youll be building real, production-ready AI solutions. Small, elite team with direct influenceyoull work closely with product, engineering, and go-to-market teams to shape AI adoption strategies. Fast learning environmentwe invest in our people, providing mentorship and opportunities to grow into senior roles quickly. Career advancement opportunitieswhether you want to specialize in data science, transition into engineering, or take on leadership, well 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 youre passionate about impacting the future of AI adoption, wed love to hear from you. The talent and dedication of our employees are at the core of DataRobots 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. Heres 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 This 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 Labors EEO poster and EEO poster supplement. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. #J-18808-Ljbffr
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. 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. Responsibilities
Developing 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 Context
The 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, wed love to hear from you! Knowledge, Skills and Abilities
4+ years of experience with Python for backend services and/or data science workflows Proficiency in writing efficient, maintainable, and well-structured code, with an emphasis on reusability and scalability Experience with API development, preferably using FastAPI, Flask, or similar frameworks Experience 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 development Ability to work in an environment with varying workloads - comfortable with both focused project sprints and periods of more exploratory work Highly coachable and eager to learnwe prioritize raw ability, curiosity, and work ethic over specific years of experience. Strong problem-solving skills and the ability to adapt to shifting prioritieswere looking for someone who thrives in a fast-moving, high-growth, and high-autonomy environment. Nice to Have
Experience with cloud platforms (AWS, Azure, GCP) for AI/ML infrastructure Familiarity with SAP integration technologies Knowledge of machine learning operations (MLOps) practices Familiarity with SAP environments or enterprise system integrations is a plus Understanding of version control for data and models Exposure to generative AI solutions like RAG, finetuning, etc. Why Join Us?
Hands-on, high-impact workyou wont just be running experiments; youll be building real, production-ready AI solutions. Small, elite team with direct influenceyoull work closely with product, engineering, and go-to-market teams to shape AI adoption strategies. Fast learning environmentwe invest in our people, providing mentorship and opportunities to grow into senior roles quickly. Career advancement opportunitieswhether you want to specialize in data science, transition into engineering, or take on leadership, well 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 youre passionate about impacting the future of AI adoption, wed love to hear from you. The talent and dedication of our employees are at the core of DataRobots 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. Heres 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 This 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 Labors EEO poster and EEO poster supplement. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. #J-18808-Ljbffr