Careers > (Senior) Data Scientist (m/f/d)
Last modified 3/23/2023 2:33:13 PM

(Senior) Data Scientist (m/f/d)

Permanent contract
Berlin, Bangalore, Remote in the Globe
Extensive experience in data science

Hello 👋 I am Puneet, Co-Founder and CPO of Kayzen, and I am now looking for a Data Scientist who will be reporting directly to me and working very closely with our Data Science Team (e.g. HeikoAugusto) in our Data Science topics 🙌

But wait, you have not heard of Kayzen before? 😃 

In short, Kayzen is a B2B SaaS platform that allows companies to reach users with video and rich media ads while they use mobile apps. 
We are a 65-people international team, working flexibly across 8 different countries:
Also, we take pride in building the best platform to help mobile marketers reach new target audiences in apps. Our ambition is nothing less than to become a global category leader in our market.

How would you describe the data science and machine learning challenges at Kayzen?

Working on various machine-learning models that process terabytes of data, serving billions of ad requests and users around the globe in real-time.

Our day-to-day work in data science and machine learning covers many areas, including:

  • Targeted and hyper-specialized models to predict specific events

  • Massive-scale supervised and unsupervised learning algorithms

  • Clustering, embeddings, and recommender system algorithms

  • We constantly improve our models to stay on top of the latest research in the field of ad-tech

  • Developing new creative solutions to a vast variety of different optimisation problems

Sounds like you?

  • Extensive experience with the development of data science products from research to production

  • Very good coding skills with the attitude of clean code, reproducibility, and testing

  • Proficient in the following tools: Python, Spark, Hadoop, Airflow, Docker, and SQL

  • Previous Experience with algorithms to handle sparse and large datasets for prediction, clustering, and outlier detection

  • (Big plus) - Knowledge of reinforcement learning and optimisation problems on a large scale

  • A decent understanding of dashboards and SQL will help to develop and improve monitoring tools


All-in-all, why Kayzen?

  • We genuinely see encouraging ownership of your quality work, accelerating your career development, and keeping+hiring exceptional colleagues as the biggest perks (above everything else)
  • 💰We are already profitable. So you can expect stability from the company financially, and you can enjoy the thrill of working in a start-up environment at the same time.
  • Our work is driven by our own team, rather than external parties (e.g. Often start-up/scale-up companies can be heavily influenced by external parties, such as venture investors who are not deeply into the business.)
  • Transparency - Day-to-day work experience with the management team and regular business updates to the team
  • 😃Our Kayzenians - For instance, we did a global week of workation offsite in 2022. Check out how we were having fun here. Perhaps we will see you in the next offsite as well?🌴 

Other benefits for every Kayzenian globally 

  • Competitive compensation package
  • Parent-friendly company culture
  • Remote-friendly company culture
  • $500 home-office-equipment budget
  • $1000 annual learning and development budget


Our team genuinely believes high-performance outcomes are achieved through hiring top talent and creating a productive and healthy work culture.
🤗 Hopefully the above excites you enough to apply 🤗


 P.S. Not sure whether you should apply as you think you may not meet all the above criteria? 

  • We encourage you to apply even if you meet only some of the points in the job description. 
  • Then, we could have a chat and see if you could be suitable for the role. 
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