Work tightly with Sales and Partner teams to build a strong catalog of assets dedicated to SAS/Alteryx migration initiatives, driven by market signals, Generative AI, partner/customer requests, and service deliveries
Own building and delivery of solutions from ideation to full delivery: scoping, specifications, implementation of accelerators and user interfaces, packaging final products, delivered alone or with Solution Engineering
Run detailed workshops with co-building partners, manage detailed research activities, and produce documentation to deliver scalable, easy-to-use assets
Lead initial roll-out of Solutions in market: demos, implementations, partner training, marketing, and enablement of Dataiku teams
Act as go-to-person on migration topics, supporting go-to-market activities from pre-sales to adoption
Be an active member of Dataiku’s Solutions Engineering group: support engineering roadmap, contribute to technical research, own transversal projects, and integrate newer technologies such as Generative AI
Requirements
5+ years of hands-on experience delivering AI/ML projects from conception to production at scale
Python development skills with extensive experience in data ETL, cleaning, and feature engineering
Proven track record of independently scoping, managing, and delivering data science projects
Migration expertise with legacy analytical tools (SAS, Alteryx preferred) and deep understanding of their data structures and workflows
Engineering mindset with passion for packaging data science use cases into reusable, production-ready solutions
Solution development experience, including creating visualizations, building integrations, and developing modular components
Business-focused approach that bridges the gap between technical capabilities and business outcomes
Client-facing experience with demonstrated ability to deliver high-quality documentation and customer engagements
Strong communication skills with the ability to adapt technical depth for diverse audiences (from executives to technical teams)
Global team collaboration experience working effectively in distributed, international environments, with a knowledge-sharing mindset and eagerness to mentor colleagues and educate customers
Curious and autonomous learner who thrives in ambiguous, fast-evolving environments; business outcome-oriented with a focus on scalable, market-ready deliverables
Highly structured approach to project management and solution development
Experience with Generative AI, knowledge graphs, or optimization solvers (nice to have)
WebApp development experience (JavaScript, Dash, RShiny) (nice to have)
Previous experience in solution consulting or pre-sales technical roles (nice to have)
Senior Product Analyst collaborating with teams to develop innovative products at Agência Estado. Key responsibilities include data analysis, market research, and facilitating product management processes.
Senior/Staff Data Scientist developing AI for commerce in the Middle East. Architecting systems for merchant and customer AI assistants and content generation.
Data Scientist leveraging statistical methods and machine learning techniques at FUCHS. Focus on data analysis, modeling, and collaboration for data - driven solutions.
Data Science Intern leveraging AI and ML technologies for product development at Seagate. Hands - on experience with data analysis, model development, and actionable insights generation.
Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
Data Manager managing and analyzing company data at Amoddex, a consultancy for IT transformation projects. Ensuring data integrity and supporting strategic decision - making in a collaborative environment.
Data Scientist at Capital One on the LLM Customization Team utilizing the latest in computing and machine learning technologies. Collaborating with data scientists and engineers to deliver AI powered products.
Lead Full Stack Data Scientist at Tilt, building the intelligence layer for data - based decisions. Driving data science strategy and analytics to enhance product and growth insights.
Data Scientist focusing on Generative AI applications and engineering problem - solving at Ford. Collaborating with cross - functional teams to innovate and improve technology solutions in the automotive sector.
AI Engineer/Data Scientist in Ford's Global Data Insights & Analytics team. Developing advanced AI/ML solutions and collaborating on cloud - native data products.