Data Scientist at Dataiku

London, England, United Kingdom

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

N/AIndustries

Requirements

Curiosity and a desire to learn new topics and skills
Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
The ability to clearly explain complex topics to technical as well as non-technical audiences
2 - 10 years of experience with Python and SQL
2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
Familiarity with data visualisation in Python, R
Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL

Responsibilities

Co-develop production-level data science projects with our customers
Analyse and investigate various kinds of data and machine learning applications across industries and use cases
Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality

Skills

Key technologies and capabilities for this role

PythonSQLDataikuMachine LearningPySparkRJavaScriptData Analysis

Questions & Answers

Common questions about this position

What technical skills are required for the Data Scientist role?

The role requires 2-10 years of experience with Python and SQL, building ML models using tools like sklearn, familiarity with data visualization in Python or R, and understanding of data systems like Cloud architectures, Hadoop, or SQL.

What experience levels are needed for this position?

Candidates should have 2-10 years of experience with Python, SQL, and building ML models.

What soft skills are important for a Data Scientist at Dataiku?

Key soft skills include curiosity and a desire to learn, empathy and eagerness to share knowledge, and the ability to explain complex topics to technical and non-technical audiences.

Is this a customer-facing role?

Yes, Data Scientists participate in client-facing activities throughout the customer journey, including platform discovery, integration support, user training, and co-developing projects.

What is the compensation for this Data Scientist position?

This information is not specified in the job description.

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