DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to generative and predictive AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on prem or on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI.
The Partner Engineering organization is charged with building and delivering high-value applications on top of the stack of our most strategic alliance partners. Our goal is to drive asymmetric revenue growth, and your role will influence how quickly we achieve this. The Sr. Data Scientist, Partner Engineering, will be the company’s subject matter expert on the SAP platform and its integration with DataRobot for AI-based applications. This role will greatly inform and influence the future direction of horizontal and vertical use cases built on top of the SAP ecosystem that will be implemented by DataRobot customers, partners, and the SAP field team.
Key Responsibilities:
- As the SAP subject matter expert (SME) in Partner Engineering, you will be the go-to expert for SAP and DataRobot market opportunity analysis, joint SAP-DataRobot go-to-market messaging, application development, custom demo creation, and internal and external joint SAP-DataRobot training.
- You will interface between DataRobot’s field data scientists, AI experts in Customer Engineering, SAP employees and partner leaders, and DataRobot partners to continuously gather input and feedback on how to best build impactful AI solutions on SAP with DataRobot.
- Relation to Customers/Suppliers/Third Parties: As the primary technical SME for SAP, reporting to the VP of Partner Engineering, you will own specific technical relationships with SAP counterparts and strategic DataRobot partners.
- As a senior member of the Partner Engineering team, you will be able to both communicate effectively and foster relationships with executives as well as deliver technically in a hands-on manner.
- Innovation and Change: Success in this role will require developing innovative predictive and generative AI solutions for legacy horizontal and vertical business processes. You will partner closely with Customer Engineering to implement AI solutions at scale in a novel way.
Knowledge, Skill, and Abilities:
- Successful candidates are expected to have day-one capability to develop and implement AI solutions within the SAP ecosystem. This includes familiarity with data extraction from Line of Business systems like Ariba and IBP, manipulation of data for AI in DataSphere/HANA, and creation of front-end applications in tools such as (but not limited or exclusive to) Fiori.
- A working familiarity with DataRobot is desired; however, training will be provided.
- You must have at least 5 years of hands-on experience building machine learning/AI solutions from project scoping through deployment, and be able to explain those during the interview process.
- Proficiency in Python is required.
- Understand a data science use case and the best practices around it (e.g., demand forecasting), understand and be able to edit/augment any supporting python code.
- Identify the best SAP data layer to build that solution on, acquire representative data, and stand up (resources provided to you) the appropriate test instance of SAP to evaluate integration on.
- Be able to identify the most seamless way to deploy this back into the SAP ecosystem.
- Where you do not know off hand, you know where/who to turn to get an answer quickly.
- You must be comfortable working in a high-paced, team environment.
- 5 years of applied machine learning experience from scoping to model deployment.
- 5+ years of extensive SAP experience where your primary role interacted with the SAP ecosystem nearly daily.
Nice to have:
- A graduate degree in a technical field is preferred but not required.
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.
All U.S. DataRobot employees must be fully vaccinated against COVID-19. If there is a medical, religious, or other legally protected reason that prevents you from receiving an available COVID-19 vaccination, and you are selected as a candidate for consideration, we have a process in place to evaluate requests for accommodation.
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.
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