Data Scientist

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Data Scientist

Kaizo combines the appeal of Gamification with the power of AI to boost the performance of Customer Support teams. 


A Bit About Us

Co-founded by Dominik Blattner and Christoph Auer-Welsbach, Amsterdam-based Kaizo aims to actively guide employees towards achieving their goals and making an impact in their companies. Kaizo builds a performance management platform for customer support teams that uses gamification and AI to improve operational efficiency, elevate teams' performance and retention with actionable OKRs.

Our cloud-based SaaS product Kaizo is available worldwide for customer support teams on Zendesk marketplace. 

- Kaizo has held its place amongst the top 10 rated apps in the marketplace and gained thousands of users on the platform.

- Kaizo has been named in Forbes list of Top 25 Machine Learning Startups To Watch In 2020.

Where We Are Going

We believe gamification in a product delivers exceptional value, especially in combination with Artificial Intelligence and applied to analytics for Customer Support agents. Where products usually lack a clear storyline for users to jump into, Kaizo combines these elements to provide a ready-to-use environment for performance management.

With Kaizo, you join our passion to unlock business value by creating an exceptional gaming experience in a professional workspace so our clients can achieve their performance goals, have more productive and engaged team. 

Why this role? 

  • Make a massive impact on the company. We are growing fast, and over the next year, we will go much, much bigger. As a data scientist, you will have an awesome opportunity to help us get there by building new features for our product.
  • Broaden your skills. Being a part of an early-stage startup, we sometimes need to wear many hats. You’ll get experience with scaling a startup and building a product.
  • Learn fast. Kaizo is developing at an extremely high speed and you will be able to take on new challenges and learn.
  • Join us at a magical time. We’ve achieved a lot with a small team, which will allow you to experiment a lot and be creative.

Your job will be

We are looking for a data scientist that will help us implement new features into our product, and help us make smarter data-driven decisions to deliver even better services. Your primary focus will be in applying data mining techniques, doing statistical analysis, developing internal A/B testing procedures and building high quality prediction models integrated with our services. 

You will also be focused on:

  • Data mining using state-of-the-art methods

  • Improve and extend the features used by our existing systems

  • Process, clean, and aggregate data used for analysis

  • Perform ad-hoc analysis and present results in a clear manner

  • Create automated systems and constantly track its performance

  • Select features, build and optimize prediction systems using machine learning techniques

  • Collaborate with other teams within the company to improve decision making and drive product development.

  • Communicate results and ideas to key decision makers

  • Experiment with different tools and technologies, and evaluate new data science approaches for the business 

What you bring to the table:

  • 2+ years industry experience.

  • Excellent understanding of data science & machine learning techniques and algorithms, such as clustering, k-NN, SVM, supervised learning, Neural Networks, etc.

  • Experience with common data science toolkits, such as Pandas, Numpy, Matplotlib, Scikit-learn and Jupyter Notebooks.

  • Experience with data visualisation tools, such as Dash, Seaborn, D3, etc.

  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.

  • Good scripting and programming skills using Python

  • Experience in using one or more of the following tools and technologies is a plus: Google Cloud Platform, Github, Docker, Kubernetes, Jenkins, MongoDB, Elasticsearch

  • Data-oriented personality

  • Excellent written and verbal communication skills for coordinating across teams.

  • A drive to learn and master new technologies and techniques.

What We Bring to the Table

You will work with some of the best global talent to build a tool used by great companies like Marleyspoon, Soundcloud, Tripaneer or WeTransfer. You will be part of a team of diverse and passionate people with a culture that empowers great work.

We do everything to make sure you feel motivated and supported by offering:

  • Investment into your personal development

  • Surrounding you with great mentors and advisors

  • New laptop & tools

  • Flexible working hours and holidays

Our Customers