Dataiku is looking for a Senior Data Scientist to join our growing Partner Sales Engineering team in EMEA. In this role, you'll engage with our ecosystem of partners at the executive business and field level. You'll also apply your expertise in ML, Gen AI and MLOps to develop solution offerings that deliver value for our joint customers.
If you're passionate about new technology, enjoy communicating the business impact of AI, and have a knack for collaborating with partners, this role may be a good fit for you.
In this role, you'll engage with our ecosystem of partners - system integrators, consultants, value-added resellers, and complementary technology partners - at the executive business and field level. You’ll also apply your expertise in Data science and MLOps to develop solution offerings that deliver value for our joint customers.
- Enable our consulting/tech partners to adopt/promote Dataiku
- Assist in the Sales engineering activities (Demo, Tech support, Training etc..) of an opportunity directly related to partners.
- Strategize and Assist in developing use cases and solutions with partners to create a portfolio of products to sell in marketplace
- Create strategic relationships with your counterparts in the partner ecosystem to drive business growth
- Research and map partner organizations (key teams, roles) with Dataiku capabilities.
- Show new Dataiku product features to our partner ecosystem and communicate our core value proposition to tech and consulting partners
- Presenting jointly with partners in webinars, conferences and participating in marketing activities such as partner events.
Preferred Qualifications
- 5+ years of experience in a large Consulting Firm (MBB, Big 4 etc)
- Have successfully managed and have hands-on contributions to deliver end to end large scale machine learning implementations on cloud or on-prem
- Have a proven track record of managing up and down the hierarchy of a consulting organization. Have an understanding of the hierarchy of the organization they are coming from and have some relationship with the executive leadership
- Deep experience using at least one of the major cloud providers (AWS/GCP/Azure)
- Understanding of Machine Learning concepts - Supervised/Unsupervised ML, GLM, NLP, Clustering techniques
