Senior Solutions Data Scientist

Dataiku is The Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.

Dataiku's mission is big: enable accelerated use of data, analytics and AI to augment all processes. By removing friction surrounding data access, preparation, modeling, MLOps and more, Dataiku empowers both data builders and domain experts with data, allowing them to deliver all the use-cases needed by their organization's AI transformation. Thanks to the Dataiku platform's unique capabilities, we democratize data science and make our everyday AI ambition a reality.

To accelerate our customers' AI journey, Dataiku offers a comprehensive range of analytical templates and plug-and-play use-cases called Dataiku Solutions. Be it to use predictive analytics to move from reaction to anticipation, or to turn the Generative AI promise into actual business outcome, Dataiku Solutions are powerful value accelerators, allowing organizations to easily tackle use-cases foundational to successful AI journeys as well as empower domain experts with data.

Dataiku is looking for a Senior Solution Data Scientist specialized in Manufacturing process and Supply Chain to join Dataiku's Business Solutions team. In this role, the Senior Solution Data Scientist will focus on creating and scaling a strong range of solutions dedicated to Manufacturing and Supply Chain functions. Through interactions and detailed work with Dataiku customers, the Senior Solution Data Scientist will play a key role in identifying domain specific needs, scope use-cases, and build "ready-to-use" solutions. After initial delivery, the Senior Solution Data Scientist will own the continuous reinforcement of delivered assets including through support to user adoption. This mission will be run in tight partnership with the Solutions Director for Manufacturing and their team, the rest of the Business Solutions team, and all other Dataiku teams, including Sales, Customer Management, Services, Product and R&D.

What You'll Do

• Work tightly with the Solution Director for Manufacturing, their team and other Solution Data Scientists focused on Manufacturing and Supply Chain to build a strong Solutions roadmap dedicated to these two functions. This roadmap will be fuelled by a variety of signals, including market evolutions, emergence of new technologies such as Generative AI, customer requests for specific use-cases or practices modernizations, successful service deliveries.…
• Own the building and delivery of a range of solutions, from ideation to full delivery. The Senior Solution Data Scientist is entrusted with all activities from scoping to packaging of the final data product, including standard data model definition, modeling approaches, and creation of dedicated features (plugins, specific visualizations, …) delivered alone or with the Solution Engineering team. As part of these activities, the Senior Solution Data Scientist will work closely with all co-building customers, run detailed workshops to refine scope understanding, manage detailed research activities, and produce all needed documentation to deliver scalable, easy-to-use assets.
• Be a key stakeholder in the initial roll-out of resulting Solutions in the market: customer demos, customer implementations, partner training, marketing, enablement of all other Dataiku team members (ie. Data Scientists, Sales Engineering, …).
• Act as a go-to-person on Data Science Manufacturing and Supply Chain topics for Dataiku, supporting go-to-market activities from pre-sales to adoption as needed.
• Be an active member of Dataiku's Solutions Engineering group: support building of our overall engineering roadmap, contribute to capitalization and technical research for the team, own key transversal projects, and more. Be eager to embrace newer technologies such as Generative & Agentic AI and integrate them.

Who You Are

• 5+ year experience minimum, with deep hands-on experience in delivering impactful projects for manufacturing and/or supply chain functions. Curious, with a business outcome mindset, keen to close the gap between technology and business deliveries. Ideally with experience in Supply Chain Analytics teams or in Digital Manufacturing initiatives, keen to capitalize and expand to a growing community of users seeking to solve similar challenges. With a strong understanding of dedicated systems and data structures.
• Proven track record of scoping and managing data-science projects in an autonomous manner. Strong appetite for data science use-case packaging and willing to develop an engineering mindset: keen to turn outcomes into easy to understand visualizations, explore integrations with other tools, build reusable building blocks, mindful of production constraints,...
• Ability to work in a global, distributed team. Strong communication skills, with capacity to adapt level of technicity and speech to a wide range of audience.
• Appetite for client facing engagement and proven capacity to deliver top quality documentation and engagements
• Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku's customers, and the general public.
• 3+ years of experience with Python, hands on experience with data ETL, cleaning, and machine learning algorithms
• Knowledge of Agentic AI, Generative AI, knowledge graphs or solvers will be a plus.
• Experience developing WebApps (Javascript, Dash or RShiny..)
• Curious, eager to learn and explore, well structured and autonomous.
• Based in Paris or remote in France.

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.

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