---
title: 'Data Scientist (m/f/d) at Kayzen'
canonical: 'https://feeny.ai/job/data-scientist-m-f-d-kayzen-emea-4ec6mnkh430m'
type: 'job'
last_seen: '2026-09-12'
---

# Data Scientist (m/f/d) at Kayzen

- **Company:** Kayzen
- **Location:** EMEA
- **Work type:** remote
- **Posted:** 2026-07-15
- **Last confirmed live:** 2026-09-12
- **Apply:** https://job-boards.eu.greenhouse.io/kayzen/jobs/4929034101

## Job description

Europe, Remote _______________________________________________

Hello👋I am [Puneet](https://www.linkedin.com/in/puneetnline/), Co-founder and CPO at Kayzen, and I am now looking for a Data Scientist to join our team 🙌

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

Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.

The Team

You will work with a carefully selected, diverse and globally distributed Data Science team (like [Heiko](https://www.linkedin.com/in/heiko-schmidle-42161038/), [Chen](https://www.linkedin.com/in/chen-levi-0081b417/)) on various machine-learning models that process terabytes of data, serving billions of ad requests and users around the globe in real-time. We are highly motivated and aligned in our quest to disrupt the multi-billion dollar ad-tech industry. We would like you to be part of our journey, as our Data Scientist (m/f/d).

## Responsibilities

Our day-to-day work in Data Science and Machine Learning encompasses a wide range of activities, including:

- Enhancing Models: Continuously improving existing models by incorporating new features, fine-tuning parameters, and utilizing additional data.
- Algorithm Development: Collaborating with our Machine Learning Engineering team to develop and deploy scalable supervised and unsupervised learning algorithms.
- Data Exploration: Identifying and exploring new data sources while researching innovative ways to leverage both new and existing data effectively.
- Solution Research: Investigating new Machine Learning solutions to optimize every step of our value chain.
- A/B Testing: Regularly conducting and evaluating A/B tests to drive insights and refine our strategies.

You’ll be a great fit if you resonate with the following principles of Data Science and Machine Learning:

- Simplicity First: We prioritize finding the best solutions to challenges rather than forcing problems to fit predetermined solutions.
- Impact-Driven: We leverage Machine Learning to enhance our product and drive performance for our clients, always focusing on tangible business outcomes.
- Collaborative Spirit: Our teams consist of analysts, engineers, and data scientists, making strong communication skills essential for success.
- Embrace Experimentation: We believe in the power of experimentation to innovate and refine our approach continually.

## Requirements

- At least 3 years of relevant experience in developing data science products, from initial research through to production deployment.
- Strong coding skills with a focus on clean, reproducible, and well-tested code.
- Proficient in key tools and technologies including Python, Spark, Hadoop, Airflow, Docker, and SQL.
- Hands-on experience with algorithms for handling sparse and large datasets, including applications in prediction, clustering, and outlier detection.
- Familiarity with Gradient Boosting Trees (CatBoost, LightGBM) in production environments is a plus.
- Experience in building neural network-based products for tasks such as classification, regression, and multi-task learning is highly valuable.
- Bonus skills: Knowledge of reinforcement learning and large-scale optimization problems is a significant asset.
- Good understanding of dashboards and SQL for developing and enhancing monitoring tools.
- Previous experience in Ad-Tech is a must.

What do we offer?

- Directly working with Founders and an opportunity to drive direct impact
- Exceptional career growth and learning opportunity
- A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
- A fun, driven, and multinational team located across Germany, India, Argentina, Canada, Spain, the UK and many more countries.
- Fully remote work and flexible work-from-home arrangement
- Opportunity to relocate to our office in Berlin
- A 500-dollar home-office setup budget
- A 1000-dollar annual learning and development budget

## About Kayzen

## Company Overview
- **One-liner**: Kayzen is a mobile-first demand-side platform (DSP) that enables apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns with full transparency and control.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Berlin, Germany
- **Founded**: 2019
- **Founders**: Tim Koschella (CEO & Co-Founder), Servesh Jain (CPO & Co-Founder), Puneet Gupta (CTO & Co-Founder)

## Core Business
- **Primary industry**: Advertising Services / Ad Tech (mobile programmatic advertising)
- **Target customers**: B2B – apps, agencies, media buyers, eCommerce brands, and advertisers of all sizes (SMB to Enterprise)
- **Mission statement**: Democratize programmatic advertising by giving advertisers full transparency, control over costs, and ownership of their data.

## Products & Services
- **[Kayzen DSP](https://kayzen.io/)**: Self-serve demand-side platform for mobile programmatic campaigns. Supports customer acquisition, retargeting, and brand performance. Offers modular architecture with Bring Your Own Algorithm (BYOA) and Bring Your Own Supply (BYOS) options. Available via UI and API.
- **Managed Service**: Full-service campaign management for clients who prefer a hands-off approach.
- **White-Label Solution**: Allows partners to create their own mobile programmatic platform on top of Kayzen’s technology.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metrics**: Annual Revenue of ~$5.0M (LinkedIn estimate) & Total Funding of $4.0M (Seed round, led by InReach Ventures)
- **Notable Investors/Partners**: Roberto Bonanzinga (InReach Ventures), Petteri Kopponen (Lifeline Ventures)
- **Growth Signals**: 87 employees (+19% YoY), operates in 12 countries, serves 1.9B+ unique daily users, processes 230B+ daily ad requests, serves up to 1B+ ads per day across 180 countries. Active job postings growing 80% YoY.

## Competitive Advantages
- **Transparency & Control**: Full cost transparency, real-time bid/win data, and complete ownership of advertiser data.
- **Modular Architecture**: BYOA and BYOS allow customisation beyond default optimization goals.
- **Scale**: Access to 1.9B+ unique daily users across banners, native, and full-screen formats.
- **Founding Team**: Nearly 40 years of combined experience in scalable tech and real-time ad trading systems.

## Strategic Focus
- Scaling the platform globally (US expansion, open role for President US)
- Continuing to democratize programmatic advertising by breaking down “walled gardens”
- Investing in AI/ML (open roles for Senior Data Scientist, LLM Platform Engineer/Lead) and product innovation

## Why Work Here
- **Culture**: Values based on _Kaizen_ (continuous improvement) – ownership, collaboration, positivity, curiosity. Emphasises knowledge sharing, celebrations, and constructive feedback.
- **Work Environment**: Flexible hours and hybrid model (core hours). Remote options across EMEA, India, and Global. Relocation support for Berlin or Bangalore offices.
- **Perks**: Competitive compensation, generous vacation, personal development budget (courses, conferences, books), wellness perks (yoga), social events (team lunches, company offsites).
- **Engineering Culture**: Work with modern tools at scale; roles span Fullstack, DevOps, Data Science, and LLM Platform engineering.
- **Diversity**: 70+ employees from 20+ nationalities, operating in 12 countries.

## Sources
1. [Kayzen About Page](https://kayzen.io/about)
2. [Kayzen Homepage](https://kayzen.io/)
3. [Kayzen Careers](https://kayzen.io/careers)
4. [Kayzen LinkedIn](https://de.linkedin.com/company/kayzen)
5. [CB Insights](https://www.cbinsights.com/company/kayzen)

## Other roles at Kayzen

- [Senior AI Engineer (m/f/d)](https://feeny.ai/job/senior-ai-engineer-m-f-d-kayzen-emea-3nme5xyyf00d) — Emea, India
- [Fullstack Team Lead (m/f/d)](https://feeny.ai/job/fullstack-team-lead-m-f-d-kayzen-india-d46h0scm733m) — India
- [Sales Lead, Holdco and Indie Agencies, EMEA (m/f/d)](https://feeny.ai/job/sales-lead-holdco-and-indie-agencies-emea-m-f-d-kayzen-london-kknckwt37bvj) — London, United Kingdom
- [Legal Counsel (m/f/d)](https://feeny.ai/job/legal-counsel-m-f-d-kayzen-berlin-z0z8wmcx6b73) — Berlin, Germany
- [President, US (m/f/d)](https://feeny.ai/job/president-us-m-f-d-kayzen-new-york-b01p6s7pz53p) — New York, NY
- [Business Development Lead - Media Buyers (m/f/d)](https://feeny.ai/job/business-development-lead-media-buyers-m-f-d-kayzen-berlin-t8hgng6tng9m) — Berlin, Germany
- [Marketing Lead (m/f/d)](https://feeny.ai/job/marketing-lead-m-f-d-kayzen-berlin-g5gt9fjh8r6k) — Berlin, Germany / London, United Kingdom / New York, NY / EMEA
- [Product Analyst (m/f/d)](https://feeny.ai/job/product-analyst-m-f-d-kayzen-bengaluru-fb20m0cxj8mx) — Bengaluru, India
- [Senior Data Scientist (m/f/d)](https://feeny.ai/job/senior-data-scientist-m-f-d-kayzen-emea-tcxq4bwtyr7d) — EMEA
- [LLM Platform Engineer/Lead (m/f/d)](https://feeny.ai/job/llm-platform-engineer-lead-m-f-d-kayzen-emea-efvvwr9z41d2) — Emea, India