Senior Data Scientist at Dataiku

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Science, Machine Learning, Large Language Models, Data Visualization, APIs, Data Engineering, MLOps, Cloud Architectures, Hadoop, Kubernetes, Teaching, Mentoring, Public Speaking, Collaboration

Industry

Software Development

Description

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. The role of a Sr 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 endeavors 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. Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other languages (e.g., R, Pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients. In this role, you will: Design and co-develop production-grade data science projects with our customers across a wide range of industries and use cases Enable users to discover and master the Dataiku platform through training sessions, office hours, workshops, and ongoing consultative support Provide strategic guidance to customers and account teams to help drive adoption, value realization, and long-term success Contribute to shaping solutions and building compelling proposals Help drive efficient customer engagements by coordinating sprints, prioritizing tasks, and estimating delivery effort You might be a great fit for this role if you have: 8 years of experience in Advanced Analytics & AI, ideally in a consulting or customer-facing data science role 5 years of hands-on experience with Python and SQL 5 years of experience designing, building, and deploying production-grade AI & ML models A strong curiosity and appetite for learning new topics, tools, and techniques Empathy and collaboration skills, with a genuine eagerness to share your knowledge with colleagues, Dataiku customers, and the wider community The ability to communicate complex concepts clearly to both technical and non-technical audiences Technical skills that will help you succeed in this role: Experience using Large Language Models (LLMs) to build innovative, real-world applications Experience with data visualization, including building applications using frameworks such as Dash, Streamlit, RShiny or Javascript Experience consuming and/or building APIs Experience with Data Engineering and/or MLOps practices Familiarity with enterprise data science platforms and tools Understanding of cloud architectures, or systems such as Hadoop or Kubernetes A demonstrated passion for teaching, mentoring, or public speaking #LI-FN1 #LI-Hybrid 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: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity 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 here.

Responsibilities

Design and co-develop production-grade data science projects with customers across various industries. Enable users to discover and master the Dataiku platform through training sessions and ongoing consultative support.