At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
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
What are you waiting for!
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our
Dataiku LinkedIn page.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [email protected]
