Senior Data Scientist at Dataiku

Singapore

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

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
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

Responsibilities

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

Skills

Key technologies and capabilities for this role

PythonSQLDataikuData ScienceMachine LearningAdvanced AnalyticsAIPysparkRJavaScriptProduction Deployment

Questions & Answers

Common questions about this position

What experience level is required for this Senior Data Scientist role?

The role requires 8 years of experience in Advanced Analytics & AI, ideally in a consulting or customer-facing data science role, along with 5 years of hands-on experience with Python and SQL, and 5 years designing, building, and deploying production-grade AI & ML models.

What technical skills are most important for this position?

Core skills include Python and SQL, with additional strengths in Large Language Models (LLMs), data visualization frameworks like Dash or Streamlit, APIs, Data Engineering/MLOps, enterprise data science platforms, and cloud architectures.

What does the company culture emphasize for Data Scientists?

The culture values curiosity for learning new technologies, empathy, collaboration, knowledge sharing with colleagues and customers, and clear communication of complex concepts to technical and non-technical audiences.

Is this a remote or office-based role?

This information is not specified in the job description.

What makes a strong candidate for this Senior Data Scientist position?

Ideal candidates have customer-facing experience in data science consulting, proven skills in production ML deployment, excitement for learning complex technologies, and strong abilities in empathy, collaboration, and communicating technical concepts clearly.

Dataiku

AI solutions for operationalizing business processes

About Dataiku

Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.

New York City, New YorkHeadquarters

2013Year Founded

$823.3MTotal Funding

SERIES_FCompany Stage

Data & Analytics, AI & Machine LearningIndustries

1,001-5,000Employees