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Data Scientist

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Dataiku

10d ago

  • Job
    Full-time
    Junior, Mid, Senior & Expert Level
  • Consulting
    Data
  • Frankfurt
  • Quick Apply

AI generated summary

  • You should have 2-10 years of Python and SQL experience, ML model building, data visualization skills, and a grasp of data systems like Cloud architectures and Hadoop.
  • You will co-develop data science projects, analyze data, train users on the platform, support sales and marketing, and create custom Python plugins to enhance functionality.

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 visualization 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
  • Analyze 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 training, 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

FAQs

What is the main role of a Data Scientist at Dataiku?

The main role of a Data Scientist at Dataiku includes co-developing production-level data science projects with customers, analyzing various types of data and machine learning applications, providing user training, and developing custom Python-based plugins to enhance the platform's functionality.

What programming languages should I be proficient in for this role?

The ideal candidate should have 2 - 10 years of experience with Python and SQL. Familiarity with other languages like R, Pyspark, and JavaScript is also beneficial.

Are there specific tools or frameworks that I should be familiar with?

Yes, experience with machine learning tools such as sklearn, data visualization in Python or R, and understanding underlying data systems like cloud architectures and Hadoop is important for this role.

Is customer interaction a part of the job?

Yes, Data Scientists at Dataiku are expected to participate in client-facing endeavors throughout the customer journey, including helping integrate Dataiku with other tools and providing consultative support.

What experience is preferred for this position?

Candidates should ideally have 2 - 10 years of experience in data science, building machine learning models, and customer-facing or consulting roles. Experience with data engineering or MLOps is also helpful.

Does Dataiku value diversity in its workforce?

Yes, Dataiku believes that a diverse identity is a source of strength and is committed to treating everyone with dignity, decency, and fairness, making it an equal opportunity employer.

What opportunities for personal growth and development are available at Dataiku?

Dataiku values innovation and collaboration, providing employees with opportunities to learn, grow, and make a significant impact in the AI field.

Is there a focus on teaching or public speaking in this role?

Yes, a passion for teaching or public speaking is considered a beneficial quality for Data Scientists as they are expected to share their knowledge and expertise with colleagues and customers.

Will there be training provided for using the Dataiku platform?

Yes, training and ongoing consultative support for users to discover and master the Dataiku platform are key responsibilities for Data Scientists at the company.

How does Dataiku ensure a safe recruitment process?

Dataiku ensures a safe recruitment process by never asking candidates for payment or making purchases during the interview or hiring process. Candidates are advised to report any suspicious activity.

Everyday AI, Extraordinary People

Technology
Industry
1001-5000
Employees
2013
Founded Year

Mission & Purpose

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.

Benefits

  • Family Medical Leave

  • Work From Home

  • Health Insurance

  • Maternity & Paternity Leave

  • Life Insurance

  • Dental Insurance

  • Stock Options

  • Vision Insurance