Data Scientist

<div class="content-intro"><p><a href="https://www.dataiku.com/?utm_source=newswire&amp;utm_medium=press-release&amp;utm_campaign=PlatformforAISuccess" target="_blank">Dataiku</a> is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.<br><br>The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku <a href="https://blog.dataiku.com/?_gl=1*17edvf4*_ga*MjA1Mjk5NzY4OC4xNjY3MjMyMDUz*_ga_B3YXRYMY48*MTY2OTA1MDY5NS4xMi4xLjE2NjkwNTA2OTguNTcuMC4w" target="_blank">blog</a>, <a href="https://www.linkedin.com/company/dataiku/" target="_blank">LinkedIn</a>, <a href="https://x.com/dataiku" target="_blank">X</a>, and <a href="https://www.youtube.com/dataiku" target="_blank">YouTube</a>.</p></div><p>The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.</p> <p>Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team mostly uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques and to explain their work to other data scientists and clients.</p> <h3><strong>Key Areas of Responsibility (What You’ll Do)</strong></h3> <ul> <li>Scope and co-develop production-level data science projects with our customers across different industries and use cases</li> <li>Help users discover and master the Dataiku platform via user trainings, office hours, and ongoing consultative support</li> <li>Provide strategic input to the customer and account teams to help our customers succeed</li> <li>Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams</li> <li>Develop custom Python-based “plugins” in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku’s functionality</li> </ul> <h3><strong>Experience (What We’re Looking For):</strong></h3> <ul> <li>Curiosity and a desire to learn new topics and skills</li> <li>Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public</li> <li>The ability to clearly explain complex topics to technical as well as non-technical audiences</li> <li>Over 2 years of experience with Python and SQL</li> <li>Over 2 years of experience with building ML models and using ML tools (e.g., sklearn)</li> <li>Familiarity with data visualisation in Python and R&nbsp;</li> <li>Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL</li> </ul> <h3><strong>Bonus points for any of these:</strong></h3> <ul> <li>Experience with Consulting and/or Customer-facing Data Science roles</li> <li>Experience with Data Engineering or MLOps</li> <li>Experience developing WebApps in JavaScript, RShiny, or Dash</li> <li>Experience building APIs</li> <li>Experience using enterprise data science tools</li> <li>Passion for teaching or public speaking</li> </ul><div class="content-conclusion"><div>&nbsp;</div> <div><strong>What are you waiting for!</strong></div> <div>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 <a href="https://www.linkedin.com/company/dataiku/">Dataiku LinkedIn page</a>.</div> <div>&nbsp;</div> <div><em>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.&nbsp;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: </em><a class="postings-link" ---------- <div>&nbsp;</div> <div><hr></div> <div> <div>&nbsp;</div> <div><strong>Protect yourself from fraudulent recruitment activity</strong></div> <div><em>Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity&nbsp;<a href="https://www.dataiku.com/legal/dataiku-recruitment-scams/" target="_blank">here.</a></em></div> </div></div>

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