Data Scientist

Dataiku; Deutschland; Remote; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

Join a forward-thinking company at the forefront of the AI revolution! As a Data Scientist, you'll co-develop innovative data science projects, support clients in mastering the platform, and leverage your expertise to drive impactful solutions. This role offers a unique opportunity to blend technical skills with customer interaction, making a significant impact in the evolving world of AI. If you're passionate about data, eager to learn, and ready to collaborate in a dynamic environment, this is your chance to shape the future of AI with a diverse and innovative team.

Qualifikationen

• 2-10 years of experience in Python and SQL.
• Experience in building ML models and using ML tools.

Aufgaben

• Co-develop production-level data science projects with customers.
• Analyze data and machine learning applications across industries.

Kenntnisse

Python

SQL

Machine Learning

Data Visualization

Empathy

Public Speaking

Consulting

Tools

scikit-learn

Hadoop

Jobbeschreibung

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

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 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.

In this role you'll help the team:

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

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

1. Curiosity and a desire to learn new topics and skills
2. Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
3. The ability to clearly explain complex topics to technical as well as non-technical audiences
4. 2 - 10 years of experience with Python and SQL
5. 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
6. Familiarity with data visualization in Python, R
7. Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL

Technical skills that may help you in the role:

1. Experience with Consulting and/or Customer-facing Data Science roles
2. Experience with Data Engineering or MLOps
3. Experience building APIs
4. Experience using enterprise data science tools
5. Passion for teaching or public speaking

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!

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.