Dataiku

Data Scientist

Germany

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Data & Analytics, SoftwareIndustries

Data Scientist at Dataiku

Position Overview

At Dataiku, we are leading the AI revolution with a platform that makes data actionable and accessible. We are pioneering the future of AI and are the architects of "Everyday AI," enabling data experts and domain experts to collaborate and integrate AI into their daily operations, from advanced analytics to Generative AI.

The Data Scientist role at Dataiku is unique, involving not only coding solutions to real-world problems but also engaging in client-facing activities throughout the customer journey. This includes supporting platform discovery, integrating Dataiku with other tools, user training, and co-developing data science projects from design to deployment.

Our Data Scientists work daily on the Dataiku platform, primarily using Python and SQL, with occasional work in other languages like R, Pyspark, and JavaScript. We seek candidates excited to learn new technologies and modeling techniques, and who can clearly explain their work to both technical and non-technical audiences.

Responsibilities

In this role, you will help the team to:

  • Co-develop production-level data science projects with our customers.
  • Analyze and investigate various data types and machine learning applications across industries and use cases.
  • Help users discover and master the Dataiku platform through user training, office hours, and ongoing consultative support.
  • Provide data science expertise 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.

Requirements

You might be a good fit for this role if you have:

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

Technical Skills that May Help You in the Role:

  • Experience in Consulting and/or Customer-facing Data Science roles.
  • Experience with Data Engineering or MLOps.
  • Experience developing WebApps in Javascript, RShiny, or Dash.
  • Experience building APIs.
  • Experience using enterprise data science tools.
  • Passion for teaching or public speaking.

Company Information

Dataiku, founded in Paris in 2013, has over 1,000 teammates across 25 countries. We are backed by a renowned set of investors and are committed to shaping the future of AI. We believe in innovation, collaboration, and personal growth.

Dataiku is an equal opportunity employer. Our practices are rooted in treating everyone with dignity, decency, and fairness. We believe that a diverse identity is a source of strength and allows us to optimize across the many dimensions needed for our success. 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.

Learn more about working at Dataiku by visiting our Dataiku LinkedIn page.

Skills

Python
SQL
R
Pyspark
JavaScript
Machine Learning
Data Analysis
Data Science
Consultative Support
Plugin Development

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

Benefits

Health, life & pension benefits
Equity
Time off for R&R
Public holidays
Work from anywhere policy (unique to team)
12 weeks of paid parental leave
Volunteering opportunities
Career Development opportunities
Technology stipend
Onsite meals & healthy snacks
Office happy hours
Company-wide events

Risks

Competition from AI platforms like Databricks may impact Dataiku's market share.
High costs of generative AI initiatives could strain client budgets.
Reliance on partnerships poses risks if collaborations face challenges.

Differentiation

Dataiku offers a centralized platform for enterprise AI and data analytics.
The company integrates with AWS, enhancing connectivity and scalability for clients.
Dataiku's LLM Guard Services ensure controlled Generative AI rollouts.

Upsides

Dataiku's partnership with Rower Consulting expands its reach in the pharmaceutical sector.
Recognition in Gartner's Magic Quadrant boosts Dataiku's credibility in AI solutions.
Dataiku Stories enhances user engagement with Generative AI-powered presentations.

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