Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Full Remote, Hybrid, Onsite
Job Summary
In this role, you will develop machine learning models for processing large datasets and optimize existing algorithms for real-time applications. You will also conduct A/B testing and explore new data sources.
Job Technologies
Your role in the team
- You will work with a carefully selected, diverse and globally distributed Data Science team (like Heiko, Chen) 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 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- 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.
- Familiarity with Gradient Boosting Trees (CatBoost, LightGBM) in production environments is a plus.
- Bonus skills: Knowledge of reinforcement learning and large-scale optimization problems is a significant asset.
- Gutes Verständnis von Dashboards und SQL zur Entwicklung und Verbesserung von Monitoring-Tools.
Experience
- At least 3 years of relevant experience in developing data science products, from initial research through to production deployment.
- Hands-on experience with algorithms for handling sparse and large datasets, including applications in prediction, clustering, and outlier detection.
- Experience in building neural network-based products for tasks such as classification, regression, and multi-task learning is highly valuable.
- Previous experience in Ad-Tech is a must.
This text has been machine translated. Show original
What 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.
- A 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.
This text has been machine translated. Show original
Topics that you deal with on the job
Job Locations
This is your employer
Kayzen
Kayzen / Realtime Technologies GmbH is a modern company based in Berlin that provides a mobile demand-side platform for programmatic advertising. This platform helps advertisers execute successful campaigns for acquisition, retargeting, and performance marketing. Kayzen places a strong emphasis on performance, transparency, and control in campaign management, supporting teams from apps, agencies, and brands in their data-driven growth.
Description
- Company Type
- Startup
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Advertising, Marketing, PR
Data Scientist
- Location
- Berlin
- Working Model
- Full Remote, Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
